Lead Data Engineer

This is a fully remote position, open to applicants in Florida.

📋 Description

• Provide architectural guidance for the organization’s data platform and associated projects.

• Support development efforts through design evaluations, architectural direction, and data modeling.

• Lead design assessments focusing on data sourcing, data pipelines, data models, and ontology resources.

• Create architectural documentation, conduct requirements breakdown, and generate SDLC documentation.

• Engage in data architecture review meetings and evaluate adherence to architectural standards.

• Supervise and direct data pipelines to ensure scalability, reusability, and optimal performance.

• Utilize Palantir Foundry for data integration and ontology management that supports big data analytics.

• Collaborate with cross-functional teams to establish data governance, metadata, and ontology standards.

• Propose enhancements to the data platform architecture in light of new data technologies and frameworks.

• Contribute to the Unified Data Layer by developing and maintaining data pipelines, platform design, documentation, and user training.

• Design dashboards in Palantir Foundry to deliver actionable insights for the enterprise.

⛳️ Requirements

• Bachelor’s Degree with a minimum of 9 years of prior Palantir experience, OR a Graduate Degree with at least 7 years of prior Palantir experience, OR, in the absence of a degree, a minimum of 13 years of prior Palantir experience.

• At least 4 years of experience in Data Pipeline development or ETL tools like Palantir Foundry, Azure Data Factory, SSIS, or Python.

• A minimum of 4 years of experience in Data Integration.

• Experience in supporting or implementing Generative AI solutions, including RAG, semantic search, and LLM integration.

• Familiarity with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst.

• Knowledge of BI and Data Warehouse development methodologies.

• Proficiency in Python, Pandas, Databricks, JavaScript, Typescript, or other scripting languages.

• Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar technologies.

• Practical experience designing and developing data pipelines using Palantir Foundry Pipeline Builder or Code Repository, or similar technologies utilizing PySpark and Spark SQL.

• Familiarity with SDLC processes and architecture review or data governance board procedures.

🏝️ Benefits

• Health and disability insurance.

• 401(k) match.

• Flexible spending accounts.

• EAP.

• Education assistance.

• Parental leave.

• Paid time off.

• Company-paid holidays.

• 9/80 schedule with every other Friday off.