Senior Manager, Data Engineering

This is a fully remote position, open to applicants in Pennsylvania.

📋 Description

• Lead, mentor, and cultivate a team of approximately 10–12 data engineers and DBAs.

• Contribute to resource allocation, organizational structure, and talent acquisition strategies.

• Supervise the design, delivery, support, and ongoing enhancement of data platforms and database-driven solutions.

• Provide scalable ingestion, transformation, storage, and retrieval solutions for analytics, reporting, and operational applications.

• Champion operational excellence through support practices, monitoring, performance optimization, resilience planning, root cause analysis, automation, and risk mitigation.

• Offer leadership across data engineering, database management, and certain platform/infrastructure responsibilities.

• Advocate for data quality, governance, service reliability, disaster recovery, scalability, and the long-term health of platforms.

• Collaborate with engineering, architecture, infrastructure, security, and business teams to create reliable, secure, and scalable solutions.

• Convey technical priorities, risks, and improvement opportunities to senior business and IT leaders.

• Promote engineering excellence, teamwork, accountability, continuous improvement, innovation, and responsible usage of AI-enabled tools.

⛳️ Requirements

• Over 7 years of experience in data engineering, database engineering, data platform operations, or similar engineering fields.

• Proven experience managing enterprise-scale data solutions, including data pipelines, database environments, and operational support functions.

• More than 7 years of experience with SQL, database technologies, data modeling, and database performance optimization.

• At least 5 years of experience in leadership, performance management, and developing engineering teams in a managerial or lead role.

• A minimum of 5 years of experience driving operational excellence, service stability, and continuous improvement in complex technology settings.

• Over 5 years of experience collaborating with engineering, infrastructure, security, architecture, and business teams.

• At least 2 years of experience using AI-enabled tools responsibly to enhance productivity, analysis, documentation, or operational workflows.

• Strong business acumen and communication abilities, including the capacity to engage and influence senior business and IT leaders.

• Demonstrated analytical, problem-solving, and decision-making capabilities.

• Bachelor's degree in computer science or equivalent professional experience.

• Preferred: experience with AWS, Azure, or GCP; Python; Spark; data warehousing; and modern data platform tools.

• Preferred: experience in platform engineering, infrastructure operations, resilience planning, disaster recovery, or engineering modernization.

• Experience in the healthcare sector is preferred.

🏝️ Benefits

• CVS Health bonus, commission, or short-term incentive program.

• Equity award program.

• Medical coverage.

• Dental coverage.

• Vision coverage.

• Paid time off.

• Retirement savings options.

• Wellness programs.

• Additional resources supporting physical, emotional, and financial well-being.