Senior Engineering Lead, Data Self-Service Platform

CVS Health; California (MO); Hybrid; USD 107,000 - 284,000; Full time

Job summary

CVS Health is seeking a Senior Manager to lead our Data Self-Service Platform, guiding the design, build, and delivery of an internal data toolset that enables teams to access and govern data with greater autonomy.

You will mentor engineers, drive architecture and code quality, and ensure alignment of technical outcomes with business goals. Collaboration across product, analytics, and operations is key to success.

Qualifications

• 5+ years of software engineering experience with leadership/management.
• Experience leading full-stack teams (React/Python preferred).
• Strong communication skills for managing stakeholders and cross-functional teams.
• Experience overseeing production-grade full-stack applications and gRPC/REST API development.
• Experience managing containerized environments (Docker) and CI/CD pipelines (Azure DevOps/Github).
• Knowledge of Kafka or similar event-streaming platforms and relational/cloud data platforms (Snowflake).

Responsibilities

• Provide strategic technical leadership for the Data Self-Service Platform (React/Python/Snowflake).
• Manage, mentor, and foster the professional growth of a team of software engineers.
• Coordinate project planning, resource allocation, and delivery timelines.
• Serve as a bridge between engineering, product, and business stakeholders.
• Ensure high code quality, observability, and robust architecture practices.
• Facilitate agile ceremonies and operational efficiency.

Skills

Leadership & people management

Full-stack leadership (React/Python)

Stakeholder management

Strong communication

Production-grade apps & API (gRPC/REST

CI/CD pipelines

Education

Bachelor of Science in Computer Science

Tools

Docker

Azure DevOps

GitHub

Kafka

Snowflake

React

Python

Job description

CVS Health is seeking a Senior Manager to lead our Data Self-Service Platform, guiding the design, build, and delivery of an internal data toolset that enables teams to access and govern data with greater autonomy.

You will mentor engineers, drive architecture and code quality, and ensure alignment of technical outcomes with business goals. Collaboration across product, analytics, and operations is key to success.