What are the responsibilities and job description for the Senior Palantir Engineer position at bp?
Position Summary
We are seeking a highly skilled Senior Palantir Engineer to develop and manage key areas of our Palantir platform. This role is pivotal in advancing data-driven strategies across our oil and gas operations. The ideal candidate will have deep expertise in Palantir and strong foundational knowledge of data principles, combined with a passion for embracing new technologies. A willingness to learn new tools and solve complex issues quickly is essential.
You will work closely with cross-functional teams to design scalable data architectures, ensure flawless integration, and deliver high-quality solutions that numerous projects across the hydrocarbon value chain. Additional responsibilities include building development tools, improving platform health, crafting new integrations, and occasionally co-developing solutions with business stakeholders. A strong understanding of master data management and data modeling best practices is required.
Key Responsibilities
We offer a reward and wellbeing package to enable your work to fit with your life. These can include, but not limited to, access to health, vision and dental insurance, flexible working schedule, paid time off policy, discretionary annual bonus program, long-term incentive program, and a generous 401K matching program. How much do we pay (Base)? $140,000- $180,000
We are seeking a highly skilled Senior Palantir Engineer to develop and manage key areas of our Palantir platform. This role is pivotal in advancing data-driven strategies across our oil and gas operations. The ideal candidate will have deep expertise in Palantir and strong foundational knowledge of data principles, combined with a passion for embracing new technologies. A willingness to learn new tools and solve complex issues quickly is essential.
You will work closely with cross-functional teams to design scalable data architectures, ensure flawless integration, and deliver high-quality solutions that numerous projects across the hydrocarbon value chain. Additional responsibilities include building development tools, improving platform health, crafting new integrations, and occasionally co-developing solutions with business stakeholders. A strong understanding of master data management and data modeling best practices is required.
Key Responsibilities
- Lead end-to-end development of tools supporting Palantir deployment at bpx, including ontology development, data pipeline design, and workflow optimization.
- Build, implement, and maintain scalable data models, pipelines, and integrations using Palantir tools such as AIP, Pipeline Builder, Code Repositories, and Ontology Management.
- Collaborate with data scientists, analysts, technology teams, and business stakeholders to translate oil and gas domain requirements into technical solutions, ensuring data quality, security, and performance.
- Troubleshoot and resolve issues within the Palantir environment, including governance, data integration, and egress policies.
- Develop and automate testing frameworks, environment cleanup, and quality checks to maintain robust data ecosystems.
- Integrate Palantir with external systems via APIs, improving connectivity with tools such as SAP, AWS, and Copilot.
- Stay ahead of industry trends by evaluating and incorporating new tools and technologies, including AI-driven analytics and emerging data platforms, to improve operational efficiency.
- Conduct workshops and provide training on Palantir best practices to foster a culture of data literacy across the organization.
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
- 5 years of experience in data engineering, with at least 2 years focused on Palantir Foundry or similar big data platforms; candidates with strong data principles and transferable skills from environments such as Snowflake or Databricks will be considered.
- Demonstrated eagerness to learn and experiment with new tools, evidenced by personal projects, certifications, or contributions to open-source communities.
- Proven expertise in data modeling, including schema design, performance optimization, and handling sophisticated datasets in high-stakes industries.
- Proficiency in Python for scripting and automation, TypeScript for front-end integrations (e.g., React-based applications), and working with APIs for data ingestion and egress.
- Strong understanding of ETL processes, data quality frameworks, and version control systems such as Git.
- Excellent problem-solving skills, with the ability to thrive in fast-paced, ambiguous environments and communicate technical concepts to non-technical stakeholders.
- Advanced knowledge of Palantir tools, including Code Repositories, Solution Designer, Data Health, and Data Connections.
- Familiarity with additional technologies such as SQL, Spark/Scala, or AI concepts (e.g., MCP, A2A).
- Experience in ontology design and building data catalogs.
- Hands-on experience in the oil and gas sector, including upstream/downstream data, geospatial analytics, or energy supply chain systems.
We offer a reward and wellbeing package to enable your work to fit with your life. These can include, but not limited to, access to health, vision and dental insurance, flexible working schedule, paid time off policy, discretionary annual bonus program, long-term incentive program, and a generous 401K matching program. How much do we pay (Base)? $140,000- $180,000
- Note that the pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting.
Salary : $140,000 - $180,000