Senior Data Platform Architect - Multi-Cloud & Ingestion

CVS Health; Town of Florida (NY); Hybrid; USD 144,000 - 288,000; Full time

Job summary

CVS Health is seeking a Principal Engineer, Data Platforms to lead architecture and governance for a cloud-native data platform spanning Azure, AWS, and GCP. You will own the Databricks strategy, drive consolidation of observability and security platforms, and enable AI/ML workloads across a large enterprise.

You will define standards, invest in automation, and collaborate with security, operations, and business teams to deliver scalable, governed data platforms that empower analytics and

Qualifications

• 10+ years of experience architecting enterprise-scale cloud data platforms.
• 8+ years of experience with Databricks platforms (Spark, Delta Lake, Unity Catalog).
• 8+ years of experience implementing Infrastructure-as-Code and CI/CD pipelines.
• 7+ years of experience with high-scale streaming/telemetry ingestion.
• 5+ years in senior technical leadership driving multi-cloud strategy.

Responsibilities

• Define and own architecture, roadmap for Unified Ingestion Platform and Federated Data Lake.
• Scale ingestion/processing to 250+ TB per day across multiple data types.
• Govern Databricks architecture, multi-cloud accounts, metadata, data governance and access control.
• Lead IaC, Policy-as-Code, automated provisioning, and enterprise CI/CD pipelines.
• Define security, governance, observability, and reliability practices aligned with OTEL and OCSF.

Skills

Databricks

Cloud architecture

CI/CD automation

FinOps

Multi-cloud

Education

Bachelor's degree or equivalent

Tools

Terraform

GitHub Actions

Kafka

Kinesis

Delta Lake

Unity Catalog

OpenTelemetry

Job description

CVS Health is seeking a Principal Engineer, Data Platforms to lead architecture and governance for a cloud-native data platform spanning Azure, AWS, and GCP. You will own the Databricks strategy, drive consolidation of observability and security platforms, and enable AI/ML workloads across a large enterprise.

You will define standards, invest in automation, and collaborate with security, operations, and business teams to deliver scalable, governed data platforms that empower analytics and