Data Architect

The Data Architect works in all data environments which includes data design database architecture metadata and repository creation. The Data Architect work assignments are varied and frequently require interpretation and Consultant determination of the appropriate courses of action.

• Data Architecture & Strategy

• Define and maintain enterprise data architecture standards principles and roadmaps.

• Design scalable data platforms supporting analytics reporting AI/ML and operational workloads.

• Develop conceptual logical and physical data models for enterprise applications.

• Establish architecture patterns for data integration master data management and data quality.

• Cloud Data Platform Leadership

• Lead the design and implementation of cloud-based data platforms using technologies such as Snowflake Prefect Google Cloud Platform (Eligible to workP) Azure and Databricks

• Define best practices for data storage processing orchestration and security.

• Guide migration of on-premises data assets to cloud environments.

• Data Engineering & Integration

• Architect batch real-time and event-driven data pipelines.

• Design solutions for API integrations ETL/ELT frameworks and data virtualization.

• Ensure high-performance and scalable ingestion transformation and consumption of data.

• Governance & Compliance

• Partner with Data Governance teams to establish metadata management lineage stewardship and data quality frameworks.

• Ensure compliance with regulatory requirements including HIPAA PHI SOC and privacy policies.

• Implement enterprise security and access control standards.

• Stakeholder Collaboration

• Collaborate with executive leadership business teams product owners and engineering teams to translate business needs into technical solutions.

• Provide architecture guidance and technical oversight throughout project lifecycles.

• Present architecture strategies and roadmaps to senior leadership.