Palantir Foundry

Job Description:

• Take on a leadership role shaping modern data platforms, helping teams transform complex data into trusted, actionable insights
• Lead the design and delivery of scalable data solutions with Palantir Foundry, working closely with stakeholders to understand business needs and convert them into dependable data products
• Drive engineering best practices to ensure high quality implementations while maintaining security, reliability, maintainability, and strong performance
• Mentor team members, encourage cross functional collaboration, and help build a culture of ownership and continuous improvement
• If you enjoy solving challenging data problems, building resilient pipelines, and leading delivery with clarity and accountability, this role offers the right blend of technical depth and leadership impact

Key Responsibilities:

• Key Responsibilities
• Lead end to end delivery of data engineering solutions on Palantir Foundry, from requirement discovery through production rollout
• Design and implement scalable data pipelines, transformations, and curated datasets aligned to business use cases using Foundry tooling e
• g
• Pipeline Builder, Code Repositories, Ontology, and Workshop Contour where applicable
• Define data modeling approaches and maintain high data quality through validation, reconciliation, and monitoring practices within Foundry
• Establish engineering standards for versioning, testing, documentation, and release management within Foundry workflows, including CI CD patterns for Foundry repositories
• Partner with product owners, analysts, and downstream consumers to deliver reliable, well governed data products, using Foundry s Ontology to support consistent business semantics and consumption
• Configure and maintain Foundry data governance capabilities, including lineage metadata management and dataset certification, to improve trust and auditability
• Troubleshoot pipeline failures and performance bottlenecks in Foundry, perform root cause analysis, and drive preventive improvements, including optimization of transforms and compute usage
• Ensure solutions comply with security access controls and governance requirements across datasets and workflows, implementing least privilege access and policy based controls in Foundry
• Mentor engineers by conducting technical reviews and providing guidance on Foundry best practices, reusable patterns, and implementation choices
• Collaborate with platform and operations teams to define operational readiness, monitoring, alerting, SLAs, SLOs, and incident response for Foundry based production workloads

Technical Requirements:

• Bachelor of Engineering or equivalent undergraduate degree
• 5 8 years of overall experience in data engineering and platform delivery responsibilities
• Hands on experience delivering data engineering solutions using Palantir Foundry
• Proven ability to lead technical delivery, manage priorities, and coordinate with cross functional stakeholders
• Strong understanding of data pipeline design, data quality controls, and operational support for production workloads
• Preferred Qualifications
• Experience leading small to mid sized engineering teams and driving best practices across delivery and operations
• Strong experience with data governance concepts, including lineage, access controls, and auditability in enterprise environments
• Demonstrated success in building reusable data assets and standardized patterns to accelerate delivery across use cases
• Experience working with large scale datasets and optimizing performance, reliability, and maintainability of pipelines
• Ability to communicate technical decisions clearly to both technical and non technical stakeholders

Additional Responsibilities:

• Good to have skills
• SQL Python Data Modeling ETL ELT Design Patterns Data Quality Frameworks CI CD for Data Pipelines Monitoring Observability Cloud Data Platforms Agile Scrum

Preferred Skills:

Technology->Data Engineering->Palantir Foundry