Description

You will define and enforce data architecture standards, modeling strategies, and governance frameworks to ensure interoperability, privacy compliance, and AI-readiness across the organization.

This role is hybrid.

Responsibilities

• Design dimensional, Data Vault 2.0, and anchor models, including semantic ontology and mesh architecture with bounded-context decomposition.
• Establish interoperability standards, global identifier strategies, and shared semantic layers (Cube, dbt, AtScale) with schema evolution rules.
• Implement governance frameworks including DCAM, DAMA-DMBOK, and DataOps maturity, defining stewardship models and data product taxonomies.
• Ensure regulatory compliance (GDPR, CCPA, HIPAA, SOX, PCI) through classification, retention policies, and lineage-driven impact analysis.
• Architect lakehouse and medallion topologies, event-driven patterns, and CDC, while defining federated policy-as-code and AI-ready semantic layers for RAG.

Required Skills

• 10+ years of experience in data architecture and modeling.
• Deep expertise in Data Vault 2.0, anchor modeling, and dimensional modeling.
• Proficiency with DCAM and DAMA-DMBOK governance frameworks.
• Strong knowledge of privacy regulations: GDPR, CCPA, HIPAA, SOX, and PCI.
• Experience with RAG architectures and agentic data access patterns.
• Understanding of DDD, mesh architecture, and domain identification.
• Ability to author federated policy-as-code and define decision rights.

Preferred Skills

• Experience with knowledge graphs and model-data contracts.

Key Skills

Education

Bachelor's degree