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Enterprise Data Catalog Specialist

Job in Torrance, Los Angeles County, California, 90504, USA
Listing for: Intelliswift - An LTTS Company
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Implement Cloud Data Catalog, Data Quality, and Metadata ingestion
  • Build Catalog & Quality reports for domain/sub-domain level data governance & quality metrics.
  • Develop and Demonstrate Data Governance dashboards for different personas, such as Data owners, Data stewards, Data engineers, Data Privacy Officer, etc.
  • Work with Business and IT teams, including Business Data Owners, Data Stewards, Technical Data Stewards, Catalog Architects, Platform Owners, and Project/Product Managers.
  • As needed, perform Technical Data Steward responsibilities.
What will this person be working on
  • Set up, Run Informatica CDGC Catalog, Dashboards, Scanners, and run profiling and sampling.
  • Support compliance inquiries and produce audit reports to satisfy SOX, CCPA, and legal requirements.
  • Define, operationalize, and support governance councils’ & steering councils’ operations using Data Catalog tools and processes.
Position Success Criteria (Desired) - 'MUST HAVE'
  • 2-4 years strong experience with Data Catalog tools such as Informatica Data Catalog, Informatica Data Quality or Alation or Unity, or Collibra, etc.
  • Team player/collaborator who builds relationships with customers and team members, earns their trust, and creates influence to meet tactical or strategic objectives.
  • Knowledgeable, go-getter, self-driven individual with a strong sense of ownership.
  • Strong analytical and problem-solving skills.
Position Success Criteria (Bonus) - 'NICE TO HAVE'
  • Understanding of entity-relationship modeling, metadata systems, data security, quality tools, and techniques
  • Ability to design traditional/relational and modern big-data architecture based on business needs
  • Exceptional communication and presentation skills
  • Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders
  • Ability to guide solution design and architecture to meet business needs
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