The Sr. Staff Data Engineer provides architectural leadership across multiple data domains and drives the design of enterprise-scale data platforms supporting analytics and AI/ML systems. This role defines standards, influences strategy, and leads large cross-functional initiatives.
- Define and drive architecture standards for data lakehouse, streaming, and batch processing systems.
- Lead cross-team design and delivery of complex data platform initiatives.
- Establish best practices for data modeling, pipeline orchestration, and platform scalability.
- Serve as technical escalation point for high-complexity data challenges.
- Drive platform reliability, cost optimization, and operational excellence.
- Partner with security, compliance, and governance teams to ensure regulatory adherence.
- Mentor senior engineers and shape engineering best practices across teams.
- Evaluate emerging technologies and recommend strategic adoption.
- Perform other duties that support the overall objective of the position.
Education Required
- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
- Or, any combination of education and experience that would provide the required qualifications for the position.
Experience Required
- 10+ years of experience designing and scaling enterprise data platforms, including demonstrated leadership of cross-team initiatives.
Knowledge, Skills & Abilities
- Knowledge of: Enterprise data platform architecture. Streaming and distributed processing systems. Infrastructure-as-code and cloud-native design. Healthcare regulatory environments.
- Skill in: Large-scale system architecture design. Strategic technical decision-making. Cross-team technical leadership. Evaluating and modernizing platform capabilities.
- Ability to: Influence engineering direction without direct authority. Lead enterprise-scale technical initiatives. Translate business strategy into scalable data architecture.
