successfactors
Lead, Data Architect (42911)
L3Harris Technologies
Huntsville, USA
Full-time
Senior · 9+ years experience
Onsite
Discovered 2 weeks ago
Palantir FoundrySQLSnowflakePythonTypeScript
Free
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Palantir FoundrySQLSnowflake
Key Skills for This Role
Palantir FoundrySQLSnowflakePythonTypeScript
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Qualifications
- Bachelor’s degree and a minimum of 9 years of relevant experience; OR a graduate degree and a minimum of 7 years of related experience; OR, in lieu of a degree, a minimum of 13 years of prior related experience. • Ability to obtain a U.S. security clearance.
Preferred Skills
- Experience building and managing datasets, objects, pipelines, and transforms in Foundry. • Experience designing and implementing ontologies within Foundry. • Experience creating Foundry applications and workshops for end‑user consumption. • Familiarity with Foundry’s Code Repositories (Python, SQL, TypeScript).
Technical Skills
- 2+ years of experience with ETL/ELT patterns, data storage, and data modeling using Palantir Foundry Pipeline Builder and/or Python. • 2+ years of experience with Power BI or similar data visualization tools; experience with Foundry’s native visualization capabilities preferred. • Experience working with Palantir Foundry in data warehouse environments. • Understanding of role‑based granular access control, the principle of least privilege, and logical segregation of sensitive data. • Proven ability to handle complex problems, conduct independent research, engage in self-learning, and implement solutions.
Professional Skills
- Ability to adapt to evolving technology stacks and flexibility in exploring alternate solutions. • Excellent communication skills, strong commitment to quality, customer focus, adaptability, and collaboration. • Ability to translate data-related requirements into innovative user solutions using standard procedures and analytical reasoning. • Strong attention to detail with a high degree of accuracy and minimal oversight. • Experience working with cross-functional teams to influence outcomes in an agile environment.
- #LI-SP1
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