Job Summary
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Key Responsibilities
Understand business requirements and define data requirements.
- Identify enterprise data sources and plan, design, and build data acquisition from sources.
- Define data models and taxonomy, design data ingestion pipelines, normalize, transform, and consume data using Palantir.
- Connect diverse data sources to develop and maintain data ingestion and consumption pipelines within Palantir.
- Derive data insights using platform capabilities for operational analytics and data science use cases.
- Develop data insights, data mining, and support AI/ML use cases training and deployment.
- Create design artifacts to describe technical components of solutions for long-term maintenance and support.
- Participate in sprint planning to provide estimates for assigned work.
- Support End-to-End testing with client systems interfacing with solutions in Palantir platform.
OPERATIONS AND TROUBLESHOOTING
- Maintain and operate Palantir-based systems, ensuring high availability, performance, and reliability.
- Proactively monitor and resolve issues, optimizing system performance and workflows.
- Drive incident management processes, including root cause analysis and long-term resolution strategies.
COLLABORATION AND STAKEHOLDER ENGAGEMENT
- Work closely with business teams, data scientists, and analysts to understand requirements and deliver actionable insights.
- Communicate effectively with stakeholders to align on goals, priorities, and timelines.
- Partner with Palantir and other technology providers for support and integration.
INNOVATION AND CONTINUOUS IMPROVEMENT
- Stay updated on the latest Palantir platform capabilities and industry best practices.
- Identify automation, optimization, and innovation opportunities within the platform and workflows.
- Provide thought leadership and contribute to the broader data strategy.
Skill Requirements
Minimum of 3 years of hands-on experience with Palantir Foundry or other Palantir platforms.
- At least 5 years of programming experience in Python, SQL, or Java essential for data analysis and manipulation.
- Experience working with large datasets, including knowledge of distributed computing tools like Apache Spark.
- Proficiency in using Code Workbooks or Pipeline Builder to write and execute Python, Java, or SQL scripts for data processing.
- Ability to model and organize data into an ontology within Foundry, creating logical structures for easy data access and use.
- Strong understanding of integrating data from multiple sources into Foundry, including ETL/ELT processes.
- Experience in building, managing, and optimizing data pipelines in Foundry.
- Knowledge of DevOps practices, including CI/CD pipelines and version control (e.g., Git).
Palantir DATA GOVERNANCE AND SECURITY
- Understanding of implementing and utilizing data lineage features within Palantir.
- Knowledge of setting up and managing data access controls within Palantir, ensuring compliance with data governance policies.
- Experience ensuring data usage complies with organizational and regulatory requirements.
DATA ANALYTICS AND VISUALIZATION
- Hands-on experience in creating dashboards, reports, and other data visualizations using Palantir tools such as Contour and Quiver.
- Experience conducting complex data analysis, including statistical and predictive modeling.
COLLABORATION AND WORKFLOW AUTOMATION
- Familiarity with Palantir collaboration features to work with cross-functional teams.
- Ability to design and implement automated workflows within Palantir.
OTHER REQUIREMENTS (OPTIONAL)
- Familiarity with cloud platforms (AWS, Azure, GCP) and related data services.
- Knowledge of data visualization tools like Tableau or Power BI.
- Understanding of Agile methodologies and experience working in Agile teams.
- Palantir Certification(s) (e.g., Foundry Data Engineer, Foundry Application Developer, Foundry Data Scientist, AI Engineer).
- Prior experience in deploying Palantir solutions at scale.