Senior Data Engineer

Position Summary

The Sr. Data Engineer is responsible for leading technical aspects of IT solution delivery, cloud‑based data platform engineering, and data product delivery, as well as strategic planning and operational excellence. The role manages the overall health of the technology ecosystem and oversees design of solutions to meet business needs, supporting the overall IT strategy. The engineer provides technical guidance in partnership with architecture and cross‑organizational input, driving cross‑awareness of business needs and opportunities, leveraging modern data tooling, automation, and AI‑assisted development practices to innovate and continuously improve cost, security, operation, and functionality.

Lead and support solution lifecycle technical activities. Ensure solutions are designed for great user experience and operational performance. Lead design, ensuring Enterprise Architecture, Security, Operations and Compliance aspects are continuously integrated. Provide input to cost and schedule estimation. Assume overall integrity of system design and operation. Oversee vendor activities.

Conduct peer reviews and approve system changes and technical solution design. Coach and mentor less experienced team members. Partner across organizations to drive minimal costs on optimal solutions. Provide in-depth technical information to stakeholders as needed.

Innovate through usage of emerging capabilities and evolving customer needs. Provide input to strategic roadmap and technical dependencies.

Maintain deep expertise in data engineering, modern data architectures and Databricks capabilities. Continuously apply technical industry knowledge pertaining to the respective domain.

Review solution performance and continually assess system health. Track and drive awareness of operational and technical debt risks. Provide escalated support to incident and problem management. Utilize analytics to improve availability, reliability, efficiency and capacity. Oversee vendor activities.

• Ten years of related functional experience.
• Bachelor’s degree in Technology, Science, Business or related field, or 4 years of experience equivalent to the position.
• Excellent communication skills, effective with varying organizational levels, and able to translate between technical and non‑technical concepts.
• Excellent relationship management and collaboration skills, with a track record of working as one team cross‑organizationally to drive innovation and business results.
• Expertise managing the lifecycle of technical solutions.
• Deep subject matter expertise within the respective system domain products, platforms, processes and architecture.
• Broad and deep knowledge of technology architecture, infrastructure, network, security and software principles and models.
• Experience working in partnership with internal and external vendors.
• Excellent analytical, problem‑solving and troubleshooting skills.
• Extensive knowledge of future technology trends within area of expertise.
• Demonstrated leadership on technical aspects of large‑scale projects.
• Experience coaching other developers in system deployment or operational troubleshooting.
• Experience with delivery methodologies (Waterfall, Agile, Scrum) and operational models (ITIL).
• Experience and understanding of core IT Service Management functions, such as Change Management and Incident Management.

• Advanced degree in Computer Science, Engineering, Data Science, or related field.
• Hands‑on experience with Databricks (jobs/workflows, Delta tables, performance tuning, Unity Catalog, access controls).
• Experience implementing Medallion architecture (Bronze/Silver/Gold), feature pipelines, and data quality frameworks.
• Experience building and maintaining internal data applications (Databricks apps, Lakebase, dashboards) integrated with enterprise platforms.
• Ability to translate ambiguous business needs into scalable data architectures and delivery plans.
• Experience establishing engineering standards including repository structures, CI/CD, testing…