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DATA ARCHITECT - REMOTE
This position can be remote in the following states: AR, CA, CO, CT, FL, IL, IA, KS, KY, LA, MI, MO, MT, NE, NY, OH, OK, PA, TN, TX, VA
About the Role
This remote position will define and maintain enterprise data architecture that supports business operations, integration, reporting and analytics. Will establish data models, architecture standards and roadmaps aligned with business priorities. Will provide technical direction and design oversight in partnership with implementation teams, Data Governance and Security. Will prepare data architecture to support artificial intelligence and machine learning use cases.
What You'll Do
Defines and maintains enterprise data architecture and roadmaps aligned with business priorities, enterprise architecture principles and technical requirements.
Collaborates with business stakeholders, Business Analysts, Software Engineering and other technical teams to translate business requirements into data architecture and design specifications.
Develops and maintains conceptual, logical and physical data models, including entity-relationship diagrams (ERDs), to document business entities, attributes and relationships.
Defines authoritative data sources and cross-system identifier strategies in partnership with application owners and business data owners.
Designs data integration patterns for movement, transformation and synchronization across systems, including batch processing and event-driven integration where appropriate.
Defines the architecture of the Snowflake data platform, including data organization, workload design, performance and cost optimization.
Establishes PostgreSQL data design standards and provides architectural guidance on database structures, query performance and operational requirements.
Defines standards for schemas, naming conventions and data organization across supported platforms.
Guides the translation of logical data models into platform-specific physical designs, working with developers and database administrators to support data integrity, performance and efficient storage.
Defines requirements for source-to-target mappings and transformation specifications and reviews implementation designs for alignment with approved data models and business rules.
Partners with Data Governance and business data owners to incorporate approved data definitions, ownership and governance policies into data solutions.
Defines data quality rules, validation and reconciliation requirements and collaborates with implementation teams and business stakeholders to measure quality and resolve recurring data issues.
Defines metadata and data lineage requirements to support data discovery, traceability and change impact analysis.
Maintains technical data definitions and partners with business data owners and Data Governance to establish consistent business terminology.
Partners with Security, Data Governance and platform administrators to apply approved data classifications and design appropriate access controls, encryption and data handling requirements.
Translates approved data retention, archival and disposal policies into architecture requirements and implementation standards.
Collaborates with DevOps and Infrastructure teams to define architectural requirements for version control, deployment, monitoring and recovery of data services.
Reviews solution designs and vendor proposals for alignment with enterprise data architecture standards…