Net Talent

taff/Lead Data Engineer Employment Type: Full-Time Senior Individual Contributor We working exclusively on an exciting opportunity for a Staff Data Engineer to lead the technical design and implementation of our most critical data infrastructure and products. In this senior-level individual contributor role, you'll be responsible for designing scalable systems, setting data architecture standards, and solving complex technical challenges that power analytics, data science, and business functions across the company. You'll collaborate with engineers, product managers, and business stakeholders to architect performant, reliable, and long-term data solutions that are customer-centric and business-aligned. What You'll Do: Design and build scalable, reliable, and high-performance data systems. Define and drive best practices for data modeling, ETL/ELT pipelines, and real-time streaming architectures. Set technical direction and architectural standards across the data platform. Work closely with cross-functional partners to meet evolving business and analytical needs. Own complex technical systems end-to-end, from concept to production. Advocate for engineering excellence and mentor other engineers on the team. Technical Skills: 8+ years of experience in data engineering or a related field, with a focus on building scalable data systems and platforms. Strong expertise with modern data tools and frameworks such as Spark , dbt , Airflow OR Kafka , Databricks , and cloud-native services (AWS, GCP, or Azure). Deep understanding of data modeling , distributed systems , streaming architectures , and ETL/ELT pipelines . Proficiency in SQL and at least one programming language such as Python , Scala , or Java . Demonstrated experience owning and delivering complex systems from architecture through implementation. Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders. Preferred Qualifications: Experience designing data platforms that support analytics , machine learning , and real-time operational workloads . Familiarity with data governance , privacy , and compliance frameworks (e.g., GDPR, HIPAA). Background in customer-centric or product-driven industries such as digital , eCommerce , or SaaS . Experience with infrastructure-as-code tools like Terraform and expertise in data observability and monitoring practices. Shortlisting this week