Palantir Foundry Consultant / Developer

Our requirements

• Strong experience with Palantir Foundry platform.
• Advanced knowledge of Python, PySpark, and SQL.
• Experience in data modeling and data architecture design.
• Understanding of modern data engineering principles and ETL/ELT frameworks.
• Experience with API-based integrations and distributed data processing.
• Knowledge of data governance, data quality, metadata management, and lineage concepts.
• Familiarity with cloud platforms such as AWS or Azure.
• Strong analytical and problem-solving skills.
• Ability to work directly with business and technical stakeholders in an agile environment.
• Nice to Have
• Experience with Foundry AIP, orchestration, and AI-enabled workflows.
• Knowledge of DevOps practices, Git-based development, CI/CD, and automated testing.

Your responsibilities

• Design and develop end-to-end data pipelines using Python, PySpark, and SQL.
• Build and maintain data ingestion frameworks using API-driven integration patterns and various data sources.
• Develop scalable data models to support reporting, analytics, and business decision-making.
• Implement incremental data processing, historization, and Slowly Changing Dimension (SCD Type 2) solutions.
• Design data architecture and data flows within the Palantir Foundry ecosystem.
• Develop and optimize ETL/ELT processes for large-scale datasets.
• Create and maintain data quality controls, validation frameworks, and monitoring solutions.
• Build and enhance Foundry applications, APIs, and automation capabilities.
• Leverage Foundry components such as Code Repositories, Workshop, Ontology Manager, Contour, Data Lineage, and Data Health.
• Collaborate with business stakeholders, analysts, and technical teams to translate requirements into scalable data solutions.
• Perform root cause analysis and drive continuous improvements in data processes and platform performance.
• Support governance, security, and compliance requirements across data products.

What we offer

• Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach.
• A wide training package (soft, technical, and language training offer, access to the e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses, and certification).
• Employee Assistance Program - legal, financial, and psychological consultations.
• Accenture employees eligible for the Employee share purchase plan automatically become eligible for quarterly dividends if they own company shares.
• Paid employee referral program.
• Private medical care and life insurance.
• Access to the WorkSmile benefits platform (possibility of using a wide range of products and services, including the Multisport card).

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• employee referral program

Accenture Strategy & Consulting