Pre-sales Senior Technical Solutions Engineer (AI/ML - Digital Native Business) x2 London, United Kingdom Req ID: FEQ327R439 x 2 New roles Recruiter: Dina Hussain Location: London (or surrounding areas) At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! You will be reporting to the Manager, Field Engineering. The impact you will have Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect. Gain excitement from clients about Databricks through hands on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications. Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet ups. Become a Big Data Analytics advisor on aspects of architecture and design. Support your customers by authoring reference architectures, how tos, and demo applications. Develop both technically and in the pre sales aspect with the goal of becoming an independently operating Solutions Architect. What we look for Experience, technical customer facing and with a background ideally in Data Science / Generative AI / Machine Learning, but will also consider Data Warehousing or Data Engineering. You will be working in the following any of the following vertical sectors: Entertainment, Media, Telco and/or Hospitality. Financial Services and Insurance (FSI). Retail / CPG (Consumer Package Goods). Any experience in Pre sales or post sales experience working with external clients. Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes. Ability to independently deliver a technical proposition, identify customers' pain points and explain important areas for business value to develop a trusted advisor skillset. Code in a core programming language such as PySpark, Python, Java, or Scala. Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs of concept and an understanding of a major public cloud platform (AWS, GCP, Azure). Experience diving deeper into solution architecture and design. The role requires travel to customer sites in the UK. Travelling approx. % of the time. Nice to have: Databricks Certification. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics.
Jul 16, 2026
Full time
Pre-sales Senior Technical Solutions Engineer (AI/ML - Digital Native Business) x2 London, United Kingdom Req ID: FEQ327R439 x 2 New roles Recruiter: Dina Hussain Location: London (or surrounding areas) At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! You will be reporting to the Manager, Field Engineering. The impact you will have Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect. Gain excitement from clients about Databricks through hands on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications. Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet ups. Become a Big Data Analytics advisor on aspects of architecture and design. Support your customers by authoring reference architectures, how tos, and demo applications. Develop both technically and in the pre sales aspect with the goal of becoming an independently operating Solutions Architect. What we look for Experience, technical customer facing and with a background ideally in Data Science / Generative AI / Machine Learning, but will also consider Data Warehousing or Data Engineering. You will be working in the following any of the following vertical sectors: Entertainment, Media, Telco and/or Hospitality. Financial Services and Insurance (FSI). Retail / CPG (Consumer Package Goods). Any experience in Pre sales or post sales experience working with external clients. Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes. Ability to independently deliver a technical proposition, identify customers' pain points and explain important areas for business value to develop a trusted advisor skillset. Code in a core programming language such as PySpark, Python, Java, or Scala. Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs of concept and an understanding of a major public cloud platform (AWS, GCP, Azure). Experience diving deeper into solution architecture and design. The role requires travel to customer sites in the UK. Travelling approx. % of the time. Nice to have: Databricks Certification. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics.
Databricks Inc. is looking for a Go-to-Market Leader for EMEA Financial Services to drive strategic growth. This role involves managing executive relationships and developing comprehensive sales plans for the Banking, Capital Markets, and Insurance sectors. The ideal candidate will have over 10 years of executive experience in Banking, with a strong understanding of European regulations and technology landscapes. The position requires a presence at industry events and strong collaboration across multiple teams.
Jul 15, 2026
Full time
Databricks Inc. is looking for a Go-to-Market Leader for EMEA Financial Services to drive strategic growth. This role involves managing executive relationships and developing comprehensive sales plans for the Banking, Capital Markets, and Insurance sectors. The ideal candidate will have over 10 years of executive experience in Banking, with a strong understanding of European regulations and technology landscapes. The position requires a presence at industry events and strong collaboration across multiple teams.
Senior Solutions Architect (Utilities/Energy) London, United Kingdom REQ ID: FEQ227R246 Location: London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer centric mindset guides us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world class, cross functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have Engage with some of Databricks' most complex customers to help them achieve their unified platform goals. Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. Coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited about the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for Know how to engage in complex customer interactions and sales lifecycle in a technical pre sales capacity. Have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background. Work with our Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. Have a builder mindset, instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks. Enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments. Ability to influence decision makers and C level executives through developing relationships and orchestrating teams to achieve long term success for customers. Prior experience with coding in a core programming language (Python or SQL) and willingness to learn a base level of Spark. Hands on expertise with complex proofs of concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape. Nice to have: Databricks Certification. Up to % travel to London offices and customer sites. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Jul 07, 2026
Full time
Senior Solutions Architect (Utilities/Energy) London, United Kingdom REQ ID: FEQ227R246 Location: London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer centric mindset guides us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world class, cross functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have Engage with some of Databricks' most complex customers to help them achieve their unified platform goals. Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. Coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited about the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for Know how to engage in complex customer interactions and sales lifecycle in a technical pre sales capacity. Have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background. Work with our Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. Have a builder mindset, instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks. Enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments. Ability to influence decision makers and C level executives through developing relationships and orchestrating teams to achieve long term success for customers. Prior experience with coding in a core programming language (Python or SQL) and willingness to learn a base level of Spark. Hands on expertise with complex proofs of concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape. Nice to have: Databricks Certification. Up to % travel to London offices and customer sites. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
A leading data and AI company in London seeks a Senior Solutions Architect to engage with complex customers and promote their Data Intelligence Platform. This role requires a technical background in Data Engineering or Data Warehousing, with the ability to influence decision-makers and craft custom solutions. Ideal candidates will have experience in a technical pre-sales environment and be comfortable working autonomously. Attractive benefits and a commitment to diversity are part of the offer.
Jul 07, 2026
Full time
A leading data and AI company in London seeks a Senior Solutions Architect to engage with complex customers and promote their Data Intelligence Platform. This role requires a technical background in Data Engineering or Data Warehousing, with the ability to influence decision-makers and craft custom solutions. Ideal candidates will have experience in a technical pre-sales environment and be comfortable working autonomously. Attractive benefits and a commitment to diversity are part of the offer.
A leading data and AI company is seeking a solutions architect to deliver technical consulting and support clients in the Consumer Packaged Goods (CPG) and Retail sectors. The ideal candidate will have experience in data engineering and strong capabilities in technical sales, aiding customers in adopting innovative data solutions. Regular travel across the UK is expected, alongside a strong hands-on approach to solving complex customer problems. This role offers a dynamic, customer-focused environment with significant growth potential.
Jul 06, 2026
Full time
A leading data and AI company is seeking a solutions architect to deliver technical consulting and support clients in the Consumer Packaged Goods (CPG) and Retail sectors. The ideal candidate will have experience in data engineering and strong capabilities in technical sales, aiding customers in adopting innovative data solutions. Regular travel across the UK is expected, alongside a strong hands-on approach to solving complex customer problems. This role offers a dynamic, customer-focused environment with significant growth potential.
Databricks Inc., a leader in data and AI, is seeking a motivated Legal Counsel to contribute to their EMEA business. This role involves reviewing and negotiating customer agreements while partnering with sales teams. The ideal candidate will have SaaS experience, approximately 3 years' PQE, and strong contract negotiation skills. Join Databricks to be part of a team that supports world-leading companies in adopting innovative data solutions.
Jun 24, 2026
Full time
Databricks Inc., a leader in data and AI, is seeking a motivated Legal Counsel to contribute to their EMEA business. This role involves reviewing and negotiating customer agreements while partnering with sales teams. The ideal candidate will have SaaS experience, approximately 3 years' PQE, and strong contract negotiation skills. Join Databricks to be part of a team that supports world-leading companies in adopting innovative data solutions.
Databricks - the global leader in data and AI - is looking for a motivated Legal Counsel to play a key role in our growing EMEA business. This is an opportunity to bring your SaaS commercial experience to a company defining the next generation of data, analytics and AI - partnering with sales teams to enable some of the world's most innovative organisations to build on the Databricks Data Intelligence Platform. You will report to the Director & Assistant General Counsel, EMEA Commercial Legal, and will be a valued part of the team responsible for reviewing and negotiating customer agreements, providing legal support for revenue generating activities of Databricks, and helping the business to improve processes and scale at pace. The impact you will have Working in partnership with the sales teams to enable some of the best known companies in the world to adopt the world's leading data and AI platform. You will diligently help resolve legal issues to enable smooth and timely transactions, escalating to senior team members where appropriate. You will work collaboratively within an experienced and supportive legal team that will invest in your development and learn to confidently guide our sales teams on internal processes. You will have a genuine appetite to test, adopt and champion AI tools that make our legal function faster and smarter. Reviewing, drafting and negotiating commercial agreements, such as MCSAs, SOWs and Order Forms, ensuring that Databricks' risk position is protected and internal compliance requirements are met. Supporting the end to end contract management lifecycle, providing practical, commercially minded advice to sales and professional services teams on contractual risks and commercial matters. Actively testing and adopting AI tools to improve the efficiency of contract review and the wider legal function, and contributing to process improvements and good practices that help us scale. Providing support and enablement to sales teams on key contractual requirements, best practices and contract management. Developing a strong understanding of Databricks' internal structures, product offerings, technology, security/data protection positions and policies to give you a foundation for providing support across Databricks' lines of business. Building your understanding of Databricks' commercial offerings to support sales teams (and customers where needed) during negotiations. Applying critical thinking and problem solving skills to propose business solutions which can meet the business' and customers' needs. Cultivating strong cross functional relationships with key stakeholders to support the Company's go to market efforts across EMEA. Contributing as a team player to help further the status of the legal department as a respected and valued partner within the company. Requirements for the role Bachelor's degree (or equivalent). Qualified lawyer (or equivalent), with approximately 3 years' PQE. Experience gained in house at a leading SaaS company (or in private practice supporting one) with a regular/quarterly sales cycle. Solid experience negotiating MSAs, NDAs, Order Forms and legal amendments with enterprise customers. Familiarity with, or willingness to quickly learn, large CRM systems (like Salesforce) and contract management systems (like Ironclad). A genuine willingness to test and adopt AI tools to improve the efficiency and quality of legal work - this is a must, not a nice to have. Demonstrated ability to manage and prioritise time and business needs in the face of competing demands. Experience working with sales teams. A real appetite for the challenge of supporting a world leading data and AI company operating at hyper growth scale. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Jun 24, 2026
Full time
Databricks - the global leader in data and AI - is looking for a motivated Legal Counsel to play a key role in our growing EMEA business. This is an opportunity to bring your SaaS commercial experience to a company defining the next generation of data, analytics and AI - partnering with sales teams to enable some of the world's most innovative organisations to build on the Databricks Data Intelligence Platform. You will report to the Director & Assistant General Counsel, EMEA Commercial Legal, and will be a valued part of the team responsible for reviewing and negotiating customer agreements, providing legal support for revenue generating activities of Databricks, and helping the business to improve processes and scale at pace. The impact you will have Working in partnership with the sales teams to enable some of the best known companies in the world to adopt the world's leading data and AI platform. You will diligently help resolve legal issues to enable smooth and timely transactions, escalating to senior team members where appropriate. You will work collaboratively within an experienced and supportive legal team that will invest in your development and learn to confidently guide our sales teams on internal processes. You will have a genuine appetite to test, adopt and champion AI tools that make our legal function faster and smarter. Reviewing, drafting and negotiating commercial agreements, such as MCSAs, SOWs and Order Forms, ensuring that Databricks' risk position is protected and internal compliance requirements are met. Supporting the end to end contract management lifecycle, providing practical, commercially minded advice to sales and professional services teams on contractual risks and commercial matters. Actively testing and adopting AI tools to improve the efficiency of contract review and the wider legal function, and contributing to process improvements and good practices that help us scale. Providing support and enablement to sales teams on key contractual requirements, best practices and contract management. Developing a strong understanding of Databricks' internal structures, product offerings, technology, security/data protection positions and policies to give you a foundation for providing support across Databricks' lines of business. Building your understanding of Databricks' commercial offerings to support sales teams (and customers where needed) during negotiations. Applying critical thinking and problem solving skills to propose business solutions which can meet the business' and customers' needs. Cultivating strong cross functional relationships with key stakeholders to support the Company's go to market efforts across EMEA. Contributing as a team player to help further the status of the legal department as a respected and valued partner within the company. Requirements for the role Bachelor's degree (or equivalent). Qualified lawyer (or equivalent), with approximately 3 years' PQE. Experience gained in house at a leading SaaS company (or in private practice supporting one) with a regular/quarterly sales cycle. Solid experience negotiating MSAs, NDAs, Order Forms and legal amendments with enterprise customers. Familiarity with, or willingness to quickly learn, large CRM systems (like Salesforce) and contract management systems (like Ironclad). A genuine willingness to test and adopt AI tools to improve the efficiency and quality of legal work - this is a must, not a nice to have. Demonstrated ability to manage and prioritise time and business needs in the face of competing demands. Experience working with sales teams. A real appetite for the challenge of supporting a world leading data and AI company operating at hyper growth scale. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.