Senior Data Architect

Responsibilities

• Design and implement scalable enterprise data architecture solutions using Databricks Lakehouse and modern cloud data platform principles.
• Lead development and governance of Medallion Architecture patterns across Bronze, Silver, and Gold layers.
• Design conceptual, logical, and physical enterprise data models.
• Design dimensional models including star schemas, snowflake schemas, fact tables, dimension tables, conformed dimensions, reporting models, and SCD Type 1 and Type 2 structures.
• Define enterprise data architecture standards, modeling standards, naming conventions, and design best practices.
• Partner directly with business stakeholders, product owners, analytics teams, and engineering teams to gather requirements and drive architecture decisions.
• Design data solutions integrating multiple source systems while maintaining consistency, governance, and data integrity.
• Define source-to-target mappings, business definitions, transformation rules, and lineage requirements.
• Support migration and modernization initiatives from traditional data warehouse platforms into Databricks Lakehouse environments.
• Create and maintain architecture diagrams, ERDs, data dictionaries, standards, and technical documentation.
• Support governance initiatives involving metadata, lineage, data quality, stewardship, security, and access controls.

Required Qualifications

• 10+ years of experience in Data Architecture, Data Engineering, Data Warehousing, or enterprise data platform leadership roles.
• Extensive hands-on experience designing and implementing solutions in Databricks.
• Strong experience with Databricks Lakehouse, Delta Lake, and Medallion Architecture.
• Strong experience designing conceptual, logical, physical, and dimensional data models.
• Advanced SQL skills and experience designing large-scale analytical data structures.
• Experience translating complex business requirements into scalable enterprise data architecture.
• Experience leading architecture discussions and influencing technical and business decision-makers.
• Strong understanding of ETL/ELT architectures, data integration, transformation, governance, lineage, metadata management, and data quality principles.
• Experience managing multiple applications, stakeholders, projects, and competing priorities simultaneously.
• Exceptional written and verbal communication skills.
• Ability to proactively identify risks, dependencies, and opportunities while driving initiatives forward with minimal oversight.