Responsibilities

• Set up data architecture standards and governance structures.
• Mature and extend data management, data engineering, metadata management, data warehouse, data lake, and data virtualization/fabric solutions.
• Architect, design, and deliver enterprise data platform projects and enhancements.
• Evaluate current-state architecture and recommend modernization for ETL, ELT, API/ESB, and data virtualization solutions.
• Develop enterprise data management platforms, product roadmaps, and future-state architecture diagrams.
• Mitigate issues related to data quality.
• Provide technical and architectural guidance to projects, teams, and service providers.
• Participate in architecture review boards and evaluations of data, analytics, COTS products, and technologies.
• Research, recommend, and pilot tools and process improvements for data solution delivery.
• Oversee design, implementation, and maintenance of databases, data warehouses, data lakes, and other data systems.
• Define data quality, security, and access control standards.
• Plan and execute data migrations from legacy systems and integrate data from multiple sources.
• Establish and enforce data governance policies and procedures.

Key Skills

• DWH, ETL, DBs, data modeling, analytics

Responsibilities

• Set up data architecture standards and governance structures.
• Mature and extend data management, data engineering, metadata management, data warehouse, data lake, and data virtualization/fabric solutions.
• Architect, design, and deliver enterprise data platform projects and enhancements.
• Evaluate current-state architecture and recommend modernization for ETL, ELT, API/ESB, and data virtualization solutions.
• Develop enterprise data management platforms, product roadmaps, and future-state architecture diagrams.
• Mitigate issues related to data quality.
• Provide technical and architectural guidance to projects, teams, and service providers.
• Participate in architecture review boards and evaluations of data, analytics, COTS products, and technologies.
• Research, recommend, and pilot tools and process improvements for data solution delivery.
• Oversee design, implementation, and maintenance of databases, data warehouses, data lakes, and other data systems.
• Define data quality, security, and access control standards.
• Plan and execute data migrations from legacy systems and integrate data from multiple sources.
• Establish and enforce data governance policies and procedures.

Key Skills

• DWH, ETL, DBs, data modeling, analytics