Data Engineering Lead - Platform Architect & Cloud Strategy

CareMore Health; Austin (TX); On-site; USD 113,000 - 179,000; Full time

Job summary

CareMore Health in Austin, TX is seeking an IT Data Engineering Lead to own the design and delivery of enterprise data platform capabilities, setting architectural direction and ensuring technical quality from design through production.

The role leads modernization, cloud adoption, and governance, mentoring senior data engineers and partnering with IT leadership to align roadmaps with business needs.

Qualifications

• Lead design and delivery of enterprise data platform initiatives.
• Define engineering standards, data modeling practices, and platform governance.
• Mentor senior data engineers and build capability across the data engineering team.

Responsibilities

• Lead the design and delivery of enterprise data platform initiatives, setting architectural direction and owning technical quality from design through production.
• Define engineering standards, data modeling practices, and platform governance frameworks for data engineering.
• Serve as the primary technical authority for data platform design decisions, advising IT leadership and data architects.
• Drive data platform modernization and cloud adoption efforts, developing strategic recommendations for senior leadership.
• Own vendor and tool relationships for core data engineering platforms, managing roadmap alignment and escalations.
• Identify data architecture gaps, technical debt, and improvement opportunities, developing actionable recommendations.
• Mentor senior data engineers and build technical capability across the data engineering team.

Skills

Data modeling

Cloud architecture

Mentoring

Tools

Snowflake

Databricks

ETL tools

Job description

CareMore Health in Austin, TX is seeking an IT Data Engineering Lead to own the design and delivery of enterprise data platform capabilities, setting architectural direction and ensuring technical quality from design through production.

The role leads modernization, cloud adoption, and governance, mentoring senior data engineers and partnering with IT leadership to align roadmaps with business needs.