Solutions Engineer - Palantir
TheCorporate · Washington, United States · 1 wk ago
HybridContract
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 DevOps, 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 DevOps and DataOps practices.
- Familiarity with AI/ML enablement through enterprise data platforms.
Benefits & Culture Highlights
- Flexible hybrid work model with autonomous ownership of high-impact projects.
- Access to cutting-edge tech stack and continuous upskilling through certified training programs.
- Competitive compensation, equity, and wellness-focused benefits package.
Skills
- terraform
- aws
- management
- graphql
- platforms
- azure
- projects
- enterprise
- data
- data engineering
- kubernetes
- data governance
- docker
- devops
- postman