Senior Data Engineer, Palantir Foundry
Acosta
Job Description Senior Data Engineer- Palantir Foundry will be responsible for designing, building, and scaling enterprise data products and operational workflows using Palantir Foundry as part of Acosta's connected data initiative. The role serves as a senior individual contributor, translating complex business processes into governed, production-grade data pipelines, ontologies, and applications that enable analytics, automation, and decision support across the organization. Responsibilities Data Pipeline & Product Engineering
- Design, build, and maintain end-to-end data pipelines within Palantir Foundry, from raw data ingestion through curated and production-ready datasets.
- Develop scalable, reusable data transformations that support enterprise analytics and operational workflows.
- Ensure data pipelines meet performance, reliability, and quality standards in production environments.
- Design and maintain Foundry ontologies that model business domains, data relationships, and operational concepts.
- Ensure data models promote consistency, reusability, and usability across analytics and application teams.
- Partner with stakeholders to translate business requirements into governed data structures.
- Embed data governance, lineage, access controls, and compliance standards into all data products.
- Implement monitoring, testing, and validation to ensure data accuracy and reliability.
- Support production operations, troubleshooting, and continuous improvement of data pipelines.
- Apply strong software engineering practices, including version control, testing, documentation, and deployment.
- Contribute to shared patterns, frameworks, and standards across the data engineering organization.
- Provide technical guidance and peer support within the data engineering team.
- Work closely with analytics, AI, and business teams to deliver data products that support decision-making and automation.
- Communicate technical concepts clearly to non-technical partners.
- Balance delivery speed with scalability, maintainability, and governance requirements.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
- 4 or more years of experience in data engineering or software engineering roles delivering production-grade data pipelines.
- Hands-on experience working within Palantir Foundry or similar enterprise data platforms.
- Strong proficiency in Python and SQL; experience with distributed processing frameworks such as Spark or PySpark preferred.
- Experience designing data models and supporting analytics or operational data products.
- Strong understanding of data governance, data quality, and enterprise data architecture principles.
- Ability to translate business requirements into scalable technical solutions.
- Strong communication and collaboration skills.
- Experience designing ontology-driven data models or semantic layers.
- Experience supporting large-scale, enterprise data environments.
- Familiarity with cloud-based data platforms and modern data engineering tools.
- Experience mentoring or providing technical guidance to other engineers.
- Seeing, Listening, Color Perception
- Inside, Face-to-Face, Work with Others
- Reading - Complex
- Math - Complex
- Analysis/Comprehension
- Judgment/Decision Making.
Vacancy posted 3 days ago
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