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Jobs or company...

Data Warehouse Technical Architect in Richmond, VA (HYBRID) - 747993

  • Full Time, onsite
  • Super Technology Solutions, Inc.
  • Hybrid3-4 days onsite per week, United States of America
Salary undisclosed

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Dice
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One of our premier clients is looking for a Data Warehouse Technical Architect in Richmond, VA (HYBRID) for a contract position. If interested, please submit your resume ASAP indicating (1) current location (2) desired hourly rate, W2 or 1099? (3) Your email address.

RESPONSIBILITIES:
Provide technical oversight and support for existing data warehouse technologies including Oracle Data warehouse and DataStage.
Collaborate with Enterprise Architecture teams to define and implement roadmaps for transitioning to modern cloud-based data warehousing solutions.
Design, develop, and maintain data governance and management processes using tools like I IKC, or Collibra.
Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies.
Ensure the data infrastructure meets the needs of business operations by ensuring data quality, integrity, and security.
Work closely with business analysts, developers, business users, architects, and DBAs to ensure the data warehouse supports business goals.
Drive initiatives related to data integration, ETL processes, and data migration strategies.
Provide leadership and mentorship to the data warehouse team, ensuring best practices in data architecture and engineering are followed.
Monitor performance and manage scaling strategies for existing data warehouse environments.
Stay up to date with industry trends and innovations in data warehouse and data management technologies, recommending improvements as necessary.

REQUIRED SKILLS:
Advanced skills in Data Warehousing, Data Analytics and Data Architecture
Strong Background in data governance, data quality, data lineage and enterprise master data management
Experience working with Oracle PL/SQL and SQL Server Database Development.
Written and oral communications
Familiarity with data modeling, data lakes, and big data technologies.
Expertise with modern cloud data warehouse platforms such as Azure Synapse or Snowflake.
Strong Experience with other data integration tools and techniques including IBM DataStage, IBM IKC or Collibra
Experience to use Snowflake
Experience with Automation and AI in Data Warehousing
Knowledge of big data tools like Hadoop, Spark, and Kafka.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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