Senior Data Engineering Manager: Scalable Platforms Lead

CVS Health

Minnesota

Hybrid

USD 107,000 - 261,000

Full time

4 days ago

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Benefits offered by this job

Medical, dental, vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health is seeking a Senior Manager, Data Engineering to lead a 10–12 person team of data engineers and DBAs. You will drive design, delivery, and operation of data platforms to support analytics, reporting, and business growth.

The role requires strong SQL, data modeling, and leadership skills to align tech priorities with business goals. You will partner with enterprise and IT leadership to ensure reliability, scale, and long-term platform health while championing disciplined data

Qualifications

7+ years of experience in data engineering, database engineering, data platform operations, or related engineering disciplines.
7+ years of experience with SQL and database technologies, data modeling, and database performance optimization.
5+ years of leadership, performance management, and developing engineering teams.
5+ years of experience driving operational excellence, service stability, and continuous improvement in complex technology environments.
5+ year of experience working effectively across engineering, infrastructure, security, architecture, and business teams to deliver integrated solutions.
2+ years of experience using AI-enabled tools to improve productivity, accelerate analysis, strengthen documentation, or streamline operational workflows in a responsible way, including the judgment to determine when human review and technical expertise are required.
Excellent business acumen and communication skills, including the ability to engage and influence senior business and IT leaders.
Proven analytical, problem-solving, and decision-making skills, with the ability to balance day-to-day operational needs with longer-term engineering and platform priorities.

Responsibilities

Lead, coach, and develop a team of data engineers and DBAs, creating clear expectations, strong accountability, and ongoing growth while contributing to resource planning, organizational design, and talent strategy
Oversee the design, delivery, support, and continuous improvement of data platforms, database-driven solutions, and operational data capabilities, including scalable ingestion, transformation, storage, and retrieval solutions for analytics, reporting, and operational use cases
Drive operational excellence across the data environment through strong support practices, monitoring, performance optimization, resiliency planning, root cause analysis, automation, and reduction of operational risk
Provide leadership across data engineering, database management, and select platform/infrastructure responsibilities, promoting strong disciplines in data quality, governance, service reliability, disaster recovery, scalability, and long-term platform health
Partner across engineering, architecture, infrastructure, security, and business teams to deliver reliable, secure, and scalable solutions aligned to enterprise priorities, while translating technical priorities, risks, and improvement opportunities into clear, business-relevant communication for senior business and IT leaders
Foster a culture of engineering excellence, collaboration, accountability, continuous improvement, and thoughtful innovation, including the responsible use of AI-enabled tools to improve productivity, analysis, documentation, and operational efficiency