Data Architect

Job Description • 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 Summary • DWH, ETL, DBs, data modeling, analytics Educational Background BE/B.Tech in Computer Science, Computer Science & Engineering, Information Technology, Software Engineering, Electronics & Communication Engineering, or an equivalent discipline; or MCA, M.Tech, or M.Sc. in Computer Science, Computer Science & Engineering, Information Technology, or Electronics & Communication Engineering from a recognized University/Institute. Desirable: MBA as an additional qualification is preferred. Certification- • AWS Data, Azure Data Engineer, GCP

Required Skills Data Architecture Data Modeling Data Warehousing Data Data Engineering, ETL/ELT Data GovernanceMeta data ManagementData Virtualization