Data Manager

Spectraforce
Verdi, CA, United States
7 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services JIRA Microsoft Azure Information Systems Information Engineering Data Governance Data Integration Extract Transform Load (ETL) Data Warehousing DevOps
+13 more
Meta-Data Management Scrum Methodology Cloud Services DataOps SQL Databases Enterprise Data Management Snowflake Palantir Foundry Information Technology Data Lineage Data Analytics Data Management Data Pipelines

Job description

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

Requirements

  • 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., * 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 DevOps, or similar tools
  • Program planning and governance
  • Budget and resource management
  • Risk and dependency management, * 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 DevOps and DataOps practices.
  • Familiarity with AI/ML enablement through enterprise data platforms.

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