Data Architect

Requirements

• Own enterprise data architecture across conceptual, logical, and physical models, including data standards, naming conventions, and best practices.
• Design reusable architecture patterns (CDC ingestion, SCD handling, lakehouse/warehouse layers, medallion architecture) and architect scalable ETL/ELT + ingestion frameworks for end-to-end integration and transformations.
• Build and optimize warehouse/datamart architectures for analytics and reporting with strong focus on performance tuning (partitioning, clustering, indexing, query optimization).
• Ensure data governance, quality, lineage, metadata management, and secure access controls (RBAC, encryption, masking).
• Drive architecture reviews, technical decisions, and create/maintain documentation (architecture diagrams, data flows, ERDs, integration specs) ensuring alignment with enterprise standards.
• Collaborate with business stakeholders, data engineers, cloud, and BI teams to translate requirements into validated solutions.
• Client-facing role with end-to-end ownership of data architecture and delivery in a high-stakes, high-impact environment.