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# Data Manager

- **Company:** Spectraforce
- **Location:** Floriston, CA, United States
- **Contract:** Permanent contract
- **Skills:** 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, Meta-Data Management, Scrum Methodology, Cloud Services, DataOps, SQL Databases, Enterprise Data Management, Snowflake, Information Technology, Data Lineage, Data Analytics, Data Management, Data Pipelines
- **Published:** August 20, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18008205?backUrl=%2Fcareer%2F18008205%2FData-Manager-California-Floriston

## About the Role

* 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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