Ursi Technologies - Sacramento, CA

posted about 2 months ago

Full-time - Senior
Sacramento, CA
Professional, Scientific, and Technical Services

About the position

The Senior Data Warehouse Administrator/Database Administrator position is a hybrid role based in Sacramento, CA, designed for a highly skilled individual with extensive experience in managing and administering data warehouse environments, particularly within Oracle's Autonomous Data Warehouse (ADW) framework. This role requires a detail-oriented professional who can independently build and support an Oracle ADW data warehouse environment with minimal supervision. The candidate will be responsible for translating business and functional requirements into technical specifications, ensuring that the data warehouse meets the needs of the organization effectively. In this position, the Senior Data Warehouse Administrator will perform data warehouse administration for the Enterprise Data Warehouse hosted in the Oracle Cloud Infrastructure. The role involves reviewing existing architecture and providing solution recommendations, as well as developing, testing, and implementing scripts and jobs for data Extract, Transform, and Load (ETL) processes using Oracle Data Integrator (ODI). The candidate will also visualize and design the enterprise data management framework, specifying processes for data planning, acquisition, maintenance, usage, archiving, retrieval, control, and purging. The successful candidate will have hands-on experience with Oracle's Autonomous Data Warehouse service and will be responsible for developing physical data models, testing approaches, plans, scripts, and documentation of results. Additionally, the role includes maintaining a data catalog and a data dictionary for the enterprise data warehouse, participating in the development of requirements and design specifications, and evaluating and monitoring databases to resolve performance issues. The Senior Data Warehouse Administrator will also monitor the EDW, respond to incidents, and provide documentation to support the Kimball Dimensional Data Modeling Framework. Mentoring and educating team members on best practices and industry standards is also a key responsibility of this role.

Responsibilities

  • Perform data warehouse administration for the Enterprise Data Warehouse in the Oracle Cloud Infrastructure, Oracle Autonomous Data Warehouse Environment.
  • Review existing architecture and provide solution recommendations where applicable.
  • Develop, test, and implement scripts/jobs for data Extract Transform and Load (ETL) from data source(s) to target(s) in the data warehouse using ODI.
  • Visualize and design the enterprise data management framework: specify processes used to plan, acquire, maintain, use, archive, retrieve, control, and purge data.
  • Hands-on experience working with and managing Oracle's Autonomous Data Warehouse (ADW) service.
  • Develop physical data model and/or work with data modeler to develop physical data model.
  • Develop Testing Approach, Plan, Scripts and Documentation of Results.
  • Develop and maintain a data catalog for the enterprise data warehouse.
  • Develop and maintain a data dictionary for the enterprise data warehouse.
  • Participate in developing Requirements Specifications.
  • Participate in developing Design Specifications.
  • Evaluate and monitor databases to resolve performance issues.
  • Monitor the EDW and respond to incidents.
  • Provide documentation to support the Kimball Dimensional Data Modeling Framework.
  • Mentor and educate team members on best practices and industry standards.

Requirements

  • Minimum of seven (7) years of verifiable experience in database design and warehouse architecture in an Oracle environment.
  • At least two (2) years of experience in the last 6 years administering Oracle Autonomous Data Warehouse in an Oracle Cloud Infrastructure Environment.
  • Five (5) years experience administering Oracle data warehouses within the last 10 years.
  • Excellent communication and collaboration skills to work effectively with technical stakeholders and team members.
  • Proficient with various Oracle tools used to perform ETL, performance management, and tuning for an Oracle Data Warehouse and Oracle Cloud Infrastructure Environment.

Nice-to-haves

  • Certified for 'Oracle Autonomous Database Cloud 2021 Certified Specialist' and/or 'Oracle Machine Learning using Autonomous Database 2021 Certified Specialist'.
  • Certified on Oracle Cloud infrastructure 2021 certified architect professional.
  • Certified for Oracle data integrator 12C certified implementation specialist.
  • Ability to develop and perform Extract, Transform, and Load (ETL) activities using Oracle tools with at least 2 years of ETL experience.
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