The Principal Data Engineer defines the long-term technical vision and enterprise architecture for data platforms supporting analytics, AI/ML, and regulated healthcare systems. This role serves as the highest-level technical authority in data engineering, driving innovation, governance, and cross-organizational alignment.
- Define enterprise-wide data architecture and long-term technical roadmap.
- Lead large-scale modernization and transformation initiatives.
- Establish governance frameworks for data architecture, scalability, and compliance.
- Partner with executive leadership to align data platform strategy with business objectives.
- Make final architectural decisions on critical data platform investments.
- Represent data engineering strategy in executive and cross-functional forums.
- Mentor Senior Staff engineers and shape technical career standards.
- Drive innovation while balancing risk, compliance, and operational stability.
- 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
- 15+ years of experience architecting and scaling enterprise data systems, including leadership of organization-wide technical strategy.
Knowledge, Skills & Abilities
- Knowledge of: Enterprise architecture frameworks. Large-scale distributed systems and streaming architectures. AI/ML data ecosystem design. Healthcare regulatory and governance environments.
- Skill in: Enterprise technical strategy development. Executive-level communication. Complex systems evaluation and modernization. Cross-organizational influence.
- Ability to: Set enterprise technical direction. Influence executive and organizational decision-making. Lead transformation across multiple engineering domains. Balance innovation with long-term sustainability.
