Director_ Palantir Foundry _Data & Analytics_Advisory

• At least 7 years of experience in data engineering using big data preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale.

• Team management Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry.

• Training candidate should have experience in creating training programs in Foundry and delivering the same in a handson format either offline or virtually.

• At least 3 years of handson experience of building and managing Ontologies on Palantir Foundry.

• At least 3 years of experience with Foundry services

• Data Engineering with Contour and Fusion

• Dashboarding, and report development using Quiver (or Reports)

• Application development using Workshop.

• Exposure to Map and Vertex is a plus
• Palantir AIP experience will be a plus
• Handson experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry.

• Handson experience of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary.

• Handson experience in working & building on Ontology (esp. demonstrable experience in building Semantic relationships).

• Proficiency in SQL, Python and PySpark. Demonstrable ability to write & optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well.

• Handson experience on DevOps on hyperscaler platforms and Palantir Foundry is necessary.

• Experience in MLOps is a plus.

• Experience in developing and managing scalable architecture & working experience in managing large data sets.

• Opensource contributions (or own repositories highlighting work) on GitHub or Kaggle is a plus.

• Experience with Graph data and graph analysis libraries (like Spark GraphX, Python NetworkX etc.) is a plus.

• A Palantir Foundry Certification (Solution Architect, Data Engineer) is a plus. Certificate should be valid at the time of Interview.

• Experience in developing GenAI application is a plus

Degrees/Field of Study required Bachelor of Technology, Master of Business Administration Degrees/Field of Study preferred Palantir (Software) Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Coaching and Feedback, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Influence, Innovation, Intellectual Curiosity, Learning Agility