Senior Technical Lead

Job Summary

NA

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.

Other Requirements