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Data Manager

Job in Los Angeles, Los Angeles County, California, 90001, USA
Listing for: Spectraforce Technologies, Inc.
Full Time position
Listed on 2026-10-20
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 120000 - 170000 USD Yearly USD 120000.00 170000.00 YEAR
Job Description & How to Apply Below
Data Manager

San Fransisco, CA (90% Remote)

3 Months

This role will be 90% remote but the managers preference is to have local candidates only

Required Qualifications Education
  • Bachelor's degree in computer science, Information Systems, Engineering, Data Science, or a related field.
  • Master's degree preferred.
Experience
  • 8+ years of experience managing complex technology or data-driven projects.
  • 5+ years leading enterprise data platform implementations.
  • Experience delivering projects involving:
    • Snowflake
    • Palantir Foundry
    • Ataccama
    • Data Engineering and Data Management solutions
  • Proven success managing cross-functional technical teams.
  • Experience working within Agile and Waterfall delivery frameworks.
Required Technical Skills Data Platforms
  • Palantir Foundry
  • Snowflake
  • Ataccama
  • Cloud Data Platforms (AWS, Azure, or GCP)
Data Engineering
  • ETL/ELT development
  • Data warehouse and lakehouse architectures
  • Data pipeline orchestration
  • Data integration frameworks
  • SQL and data modeling concepts
Data Governance & Quality
  • Master Data Management (MDM)
  • Data Quality Management
  • Metadata Management
  • Data Governance Frameworks
  • Data Lineage and Cataloging
Project Management
  • Agile/Scrum
  • Jira, Azure Dev Ops, or similar tools
  • Program planning and governance
  • Budget and resource management
  • Risk and dependency management
Preferred Qualifications
  • PMP, PgMP, Scrum Master, SAFe Agilist, or equivalent certification.
  • Experience with enterprise utility, energy, healthcare, financial services, or large-scale regulated industries.
  • Knowledge of data privacy and compliance frameworks.
  • Experience with Dev Ops and Data Ops practices.
  • Familiarity with AI/ML enablement through enterprise data platforms.
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