Staff Data Engineer (Azure Databricks Platform)

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary
Staff Data Engineer-Azure Databricks Platform
We’re looking for a highly skilled Platform Staff Engineer to lead the development and
maintenance of our Databricks platform, supporting our healthcare delivery initiatives.
You will be a hands-on leader, responsible for the architecture, implementation, and operational
excellence of our data platform. You will be responsible for ensuring the platform’s reliability,
performance, and security, while also driving its strategic evolution to meet future business
needs. This position requires a blend of deep technical expertise, a proactive mindset, and a
commitment to operational excellence.
This role sits at the intersection of platform engineering, cloud engineering, data governance,
and developer enablement, requiring a blend of deep technical expertise, strategic thinking, and
a passion for building scalable, reliable, and secure systems.
You will be a trusted partner for our data engineers ensuring they have the tools and best
practices to drive business value.
Responsibilities

• Operational Excellence: Oversee the operational health of the platform. Maintain and

enhance monitoring, logging, and alerting solutions to proactively identify and resolve
issues. Lead incident response and perform root cause analysis for platform-wide
problems.

• Platform Architecture & Strategy: Maintain and enhance the core components of our

Azure Databricks environment. Define the strategic roadmap for the platform, including
the adoption of new features, services, and best practices (e.g., Delta Lake, Unity
Catalog, Databricks Workflows. Github CI/CD).

• Security & Governance: Manage the enforcement and enhancement of data security

and governance policies. Manage the Unity Catalog to ensure fine-grained access
control, data lineage, and compliance with internal and external regulations.

• Performance & Cost Optimization: Implement strategies for cost management and

performance tuning at a platform level. Provide guidance and tooling to optimize
Databricks clusters and workloads to maximize efficiency and minimize cloud spend.

• Tooling & Automation: Maintain and enhance automated solutions for provisioning,

scaling, and managing Databricks workspaces and resources using Infrastructure as
Code (Terraform) and CI/CD pipelines (GitHub).

• Developer Enablement: Serve as a subject matter expert and mentor to other data

engineers and Azure databricks platform engineers. Develop and advocate for best
practices, create reusable patterns and libraries, and provide expert-level technical
support and training to data teams.

• Cross-Functional Collaboration: Partner with data engineering and business teams to

understand their needs and maintain and enhance a platform that empowers them. Work
with security, networking, and other infrastructure teams to ensure a cohesive and
secure environment.

• Leading the Platform Engineers: Overseeing and directing the efforts of 2 platform

engineers.
Required Skills

• Experience: 8+ years of experience in a hands-on engineering role with a focus on

cloud data platforms, distributed systems, and data engineering.

• Azure Databricks Expertise: Deep, hands-on experience with the Azure Databricks

platform, including its administration, cluster management, job orchestration, and key
features like Delta Lake and Unity Catalog.

• Cloud Proficiency: Expert-level knowledge of the Azure ecosystem, including Azure

Data Lake Storage (ADLS), Azure Active Directory (AAD), and networking components.

• Programming & Scripting: Strong proficiency in Terraform, Python, Apache

Spark/PySpark, SQL, and Shell scripting.

• Infrastructure as Code & CI/CD: Proven experience with Infrastructure as Code tools

(e.g., Terraform) and building automated CI/CD pipelines for platform and data
application deployments.

• Distributed Systems: A strong understanding of distributed computing principles and

the architecture of …