Manager – Infrastructure Specialist – Data & Cloud Platforms (IC)

CVS Health•Work At Home-Texas, TX

6d•Onsite

About The Position

The Infrastructure Specialist – Data & Cloud Platforms will Own the design, automation, and operational support of cloud infrastructure and data platforms, ensuring scalable, secure, and highly available environments that support enterprise data and analytics workloads. Partner closely with Infrastructure and DBA teams to execute SQL Server upgrades, migrations, patching, and monitoring, while proactively managing performance at the server, database, and query levels to maintain platform stability and reliability. Ensure solutions meet performance, security, compliance, and operational readiness standards, minimizing business disruption through disciplined change management, testing, and ongoing monitoring.

Requirements

4 or more years of experience designing, building, or maintaining ETL or data pipelines (batch or streaming) used for analytics, reporting, or data integration.
5 or more years working with SQL Server or another enterprise relational database, including complex SQL and/or ETL integration.
4 or more years supporting cloud‑enabled data or analytics platforms, using AWS, Azure, or GCP services (e.g., cloud storage, compute, managed databases, or data pipelines).
5 or more years as an individual contributor supporting production data or analytics solutions used by business stakeholders, with responsibility for reliability, data quality, and delivery.
Demonstrated ability to independently own and solve complex problems, quickly learn new technologies, and drive outcomes as an individual contributor without direct people management
Solid understanding of enterprise data, data flows, and how analytics and reporting support operational processes and business decision‑making
Proven ability to translate business requirements into well‑designed, scalable technical solutions, managing deliverables, timelines, and quality with limited oversight

Nice To Haves

Experience designing and delivering data visualizations and dashboards using Tableau and/or Power BI, with an emphasis on usability, clarity, and executive-level storytelling
Experience working with healthcare data domains (e.g., claims, pharmacy, clinical, provider, or operational data), including familiarity with data quality considerations and regulatory sensitivity

Responsibilities

Design and automate cloud infrastructure and data platform deployments, ensuring highly available, scalable, and secure environments supporting enterprise data and analytics workloads
Develop and maintain automation and ETL support scripts used for data movement, operational monitoring, validation, and platform maintenance (not analyst-driven reporting)
Optimize system reliability through load balancing, network tuning, capacity planning, and proactive monitoring across compute, storage, and data platforms
Conduct end-to-end cloud system testing to validate performance, security controls, resilience, and regulatory compliance prior to production releases
Partner closely with Infrastructure and DBA teams to plan and execute SQL Server upgrades, migrations, patching, and platform monitoring across non-production and production environments
Ensure proactive performance management at the server, database, and query levels by identifying bottlenecks, tuning workloads, and validating configuration standards.
Support enterprise availability and resilience goals by participating in maintenance planning, release coordination, and incident response activities
Minimize business disruption through disciplined change control, deployment validation, rollback planning, and post-implementation review
Provide informal technical guidance, share best practices, and support peer development without formal supervisory responsibility
Build AI-Ready data solutions support analytics, reporting, documentation, or workflow automation in an enterprise environment
Design and deliver data visualizations and dashboards using Tableau and/or Power BI, with an emphasis on usability, clarity, and executive-level storytelling
Work with healthcare data domains (e.g., claims, pharmacy, clinical, provider, or operational data), including familiarity with data quality considerations and regulatory sensitivity