Sr Forward Deployed Engineer (Foundry)
- Bachelor's degree in Computer Science, Engineering, Data Science, Financial Engineering, Econometrics, or a related field required (Master's preferred).
- 8 plus years of hands-on experience in data engineering, with at least 4 years specializing in Palantir Foundry (e.g., Ontology, Pipelines, AIP, Workshop, Slate), demonstrating deep, autonomous proficiency in building full applications and workflows.
- Proven expertise in Python, PySpark, SQL, and building scalable ETL workflows, with experience integrating with interoperable cloud IDEs such as Databricks.
- Demonstrated ability to deliver end-to-end solutions independently, with strong evidence of quantifiable impacts (e.g., "Built pipeline reducing cloud services expenditures by 30%").
- Strong business acumen in industrial domains like manufacturing, commercial leasing, supply chain, or logistics, with examples of proactive innovations.
- Experience collaborating with team members and leadership in technical environments.
- Excellent problem-solving skills, with a track record of handling ambiguity and driving results in fast-paced settings.
Preferred Qualifications
- Certifications in Palantir Foundry (e.g., Foundry Data Engineer, Application Developer).
- Experience with AI/ML integrations (e.g., TensorFlow, PyTorch, LLMs) within Foundry AIP for predictive analytics.
- Familiarity with CI/CD tools and cloud services (e.g., AW, Azure, Google Cloud).
- Strongly Desired: Hands-on experience with enterprise visualization platforms such as Qlik, Tableau, or PowerBI to enhance dashboard development and analytics delivery (not required but a significant plus for integrating with Foundry tools).
EOE
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