Staff Systems Engineer – Digital

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

📋 Description

• Define and take ownership of the enterprise data architecture strategy across operational, analytical, and AI/ML workloads.

• Design and oversee data models, data contracts, and canonical schemas.

• Assess and standardize data platform tools, including data lakes, warehouses, streaming, and serving layers.

• Act as the primary subject matter expert on shared data platform issues.

• Lead the technical design and solution development for foundational data components.

• Manage data governance frameworks encompassing classification, lineage, ownership, and quality standards.

• Collaborate with legal, security, and compliance teams on HIPAA, CCPA, and healthcare regulatory obligations.

• Define and implement data access controls, masking strategies, and PHI management.

• Promote the adoption of data catalogs and manage metadata effectively.

• Set standards for data retention, archiving, and deletion.

• Design architectures that support AI/ML training, feature engineering, and inference pipelines.

• Establish feature store patterns and real-time data serving strategies.

• Collaborate with AI engineering teams on LLM and generative AI data contracts and schemas.

• Implement dataset versioning, training/serving skew detection, and model input monitoring strategies.

• Provide guidance to product engineering, platform, and analytics teams regarding data architecture.

• Produce documentation, architecture decision records, and onboarding materials.

• Foster alignment on data standards, naming conventions, and shared data product strategies.

• Create data quality frameworks, observability standards, alerting protocols, lineage tracking, and incident response plans.

• Promote data reliability engineering practices and conduct pipeline testing.

⛳️ Requirements

• Over 7 years of experience in data engineering, data architecture, or similar roles.

• At least 5 years of hands-on experience with cloud-native data platforms, including GCP (BigQuery, Dataflow, Pub/Sub) and Azure Synapse.

• More than 5 years of experience in data governance, compliance, and regulatory requirements.

• Demonstrated success in building and managing enterprise-scale data platforms across various product teams.

• Proficient in relational and non-relational data modeling, including dimensional modeling, Data Vault, or event-sourced patterns.

• Strong expertise in SQL and proficiency in at least one data pipeline language: Python, Scala, or Spark.

• Experience with streaming data architectures such as Kafka, Pub/Sub, or Kinesis.

• Familiarity with data governance tools like Dataplex, Collibra, or Alation.

• Understanding of data mesh principles and federated data ownership models.

• Knowledge of feature store platforms such as Feast, Tecton, or Vertex AI Feature Store.

• Experience with dbt, Great Expectations, or similar data transformation and quality frameworks.

• Exposure to LLM data pipelines, RAG architectures, embedding generation, or vector database design.

• Bachelor's degree or equivalent experience (High School diploma + 4 years of relevant experience).

🏝️ 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.