EY
Palantir Engineer - Manager - Consulting - Location Open
EY, Greenville, South Carolina, us, 29610
Overview
Palantir Engineer - Manager - Consulting - Location Open at EY. This role focuses on delivering data-driven insights and Palantir Foundry solutions for Industrials & Energy clients. Location: Anywhere in Country. At EY, we’re committed to shaping your future with confidence and helping you succeed in a globally connected, diverse team environment. This is a high-growth, high-visibility role with opportunities to shape data strategies across client operations. Travel may be required based on client needs. Responsibilities
Understand and analyze business requirements to translate them into technical requirements. Design, build, and operate scalable data architecture and modeling solutions. Stay up to date with trends and technologies to maintain a competitive edge. Build solutions using Palantir Foundry tools (Pipeline Builder, Workshop, AIP Agent Studio, Contour, Quiver) and other tools, while mentoring teams of strategists and engineers. Advise clients on data strategies, governance, and modern data architecture in alignment with business objectives and regulatory requirements. Design analytics solutions that deliver significant business value and translate business requirements into technical implementations. Collaborate with data and analytics professionals, management, and stakeholders to ensure requirements are met. Your Key Responsibilities Build, deploy, and maintain Palantir Foundry solutions (Pipeline Builder workflows, Workshop applications, AIP Agent Studio automations, Contour integrations, Quiver visualizations). Translate business initiatives into prioritized use cases with measurable ROI; manage delivery across multiple domains. Define and execute Data & AI strategy for Industrials, Manufacturing, Oil & Gas or Utilities clients, aligning with objectives and regulatory requirements. Develop data literacy programs, training, and change management to embed a data-driven culture. Communicate analytical findings through dashboards and visuals tailored to business and technical audiences. Build and maintain trusted client relationships across operations, IT, engineering, and executive leadership. Stay informed about emerging technologies and industrial trends and advances in Palantir Foundry & AI platforms. Develop resource plans and budgets for engagements; manage engagement economics. Lead and mentor a multidisciplinary team of analysts, engineers, and data stewards to deliver high-quality outcomes. Design scalable, secure, and cost-effective data architectures with enterprise architects and IT. Oversee cloud-based data management platforms such as Databricks, Snowflake, Azure, AWS, and Hadoop for ingestion, storage, and processing. Drive design and implementation of analytical models, data pipelines, and visualizations to solve complex business problems. Lead workstream delivery and ensure quality in all processes. Engage with clients daily, participate in working sessions, and identify opportunities for additional services. Implement resource plans and budgets while managing engagement economics. Skills And Attributes For Success Strong analytical and problem-solving abilities. Excellent communication skills; ability to convey complex information clearly. Proven experience in managing and delivering projects effectively. Ability to build and manage relationships with clients and stakeholders. Qualifications Bachelor’s degree required; master’s preferred in quantitative or technical fields; consulting or Industrials & Energy experience preferred. At least 5 years of relevant experience in data analytics, governance, or data strategy (industrial, energy, or related sectors). At least 3 years of hands-on Palantir Foundry experience (Pipeline Builder, Workshop, AIP Agent Studio, Contour, Quiver, etc.). Deep knowledge of data governance, data quality, stewardship, compliance, and policy creation. Experience designing and deploying scalable data architectures. Proficiency with SQL, Python, R, Power BI, Tableau, Dataiku, or similar tools. Expertise in advanced analytics, data science, and ML approaches to solve business challenges. Hands-on experience with Databricks, Snowflake, Azure (Data Factory, AzureML), AWS, Hadoop. Ability to lead technical delivery and manage small teams. Strong communication and stakeholder management skills across technical and business domains. Mentoring and building high-performing data teams; understanding regulatory and data privacy implications in industrial/energy sectors. Valid U.S. driver’s license and willingness to travel to client locations as needed. Nice-to-Have Certifications in Palantir, AWS, Azure, Snowflake, Databricks or related platforms. Experience with Data Office Organization and IT Architecture. Familiarity with Digital Fluency and Hybrid Collaboration techniques. Emotional agility to navigate complex interpersonal dynamics. Experience with ML concepts and applications; knowledge of industry trends and best practices in data engineering. What We Look For We seek individuals who are technically proficient and possess collaboration, adaptability, and a passion for continuous learning. If you are driven by results and want to make a meaningful impact, we want to hear from you. EY is an equal opportunity employer. EY provides reasonable accommodations for qualified individuals with disabilities during the application process. For California applicants, additional information is available here. What We Offer You Comprehensive compensation and benefits package; base salary ranges vary by location. In the US, ranges are provided with regional adjustments. Our Total Rewards include medical/dental coverage, pension/401(k), and paid time off. Hybrid work model: most client-serving roles expect in-person collaboration 40-60% of the time. Flexible vacation policy with eligibility for EY holidays, breaks, and leaves to support well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. EY is committed to building a better working world by leveraging data, AI and technology to help clients and communities. EY is an equal employment opportunity employer; information on accommodations and accessibility is available from EY.
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Palantir Engineer - Manager - Consulting - Location Open at EY. This role focuses on delivering data-driven insights and Palantir Foundry solutions for Industrials & Energy clients. Location: Anywhere in Country. At EY, we’re committed to shaping your future with confidence and helping you succeed in a globally connected, diverse team environment. This is a high-growth, high-visibility role with opportunities to shape data strategies across client operations. Travel may be required based on client needs. Responsibilities
Understand and analyze business requirements to translate them into technical requirements. Design, build, and operate scalable data architecture and modeling solutions. Stay up to date with trends and technologies to maintain a competitive edge. Build solutions using Palantir Foundry tools (Pipeline Builder, Workshop, AIP Agent Studio, Contour, Quiver) and other tools, while mentoring teams of strategists and engineers. Advise clients on data strategies, governance, and modern data architecture in alignment with business objectives and regulatory requirements. Design analytics solutions that deliver significant business value and translate business requirements into technical implementations. Collaborate with data and analytics professionals, management, and stakeholders to ensure requirements are met. Your Key Responsibilities Build, deploy, and maintain Palantir Foundry solutions (Pipeline Builder workflows, Workshop applications, AIP Agent Studio automations, Contour integrations, Quiver visualizations). Translate business initiatives into prioritized use cases with measurable ROI; manage delivery across multiple domains. Define and execute Data & AI strategy for Industrials, Manufacturing, Oil & Gas or Utilities clients, aligning with objectives and regulatory requirements. Develop data literacy programs, training, and change management to embed a data-driven culture. Communicate analytical findings through dashboards and visuals tailored to business and technical audiences. Build and maintain trusted client relationships across operations, IT, engineering, and executive leadership. Stay informed about emerging technologies and industrial trends and advances in Palantir Foundry & AI platforms. Develop resource plans and budgets for engagements; manage engagement economics. Lead and mentor a multidisciplinary team of analysts, engineers, and data stewards to deliver high-quality outcomes. Design scalable, secure, and cost-effective data architectures with enterprise architects and IT. Oversee cloud-based data management platforms such as Databricks, Snowflake, Azure, AWS, and Hadoop for ingestion, storage, and processing. Drive design and implementation of analytical models, data pipelines, and visualizations to solve complex business problems. Lead workstream delivery and ensure quality in all processes. Engage with clients daily, participate in working sessions, and identify opportunities for additional services. Implement resource plans and budgets while managing engagement economics. Skills And Attributes For Success Strong analytical and problem-solving abilities. Excellent communication skills; ability to convey complex information clearly. Proven experience in managing and delivering projects effectively. Ability to build and manage relationships with clients and stakeholders. Qualifications Bachelor’s degree required; master’s preferred in quantitative or technical fields; consulting or Industrials & Energy experience preferred. At least 5 years of relevant experience in data analytics, governance, or data strategy (industrial, energy, or related sectors). At least 3 years of hands-on Palantir Foundry experience (Pipeline Builder, Workshop, AIP Agent Studio, Contour, Quiver, etc.). Deep knowledge of data governance, data quality, stewardship, compliance, and policy creation. Experience designing and deploying scalable data architectures. Proficiency with SQL, Python, R, Power BI, Tableau, Dataiku, or similar tools. Expertise in advanced analytics, data science, and ML approaches to solve business challenges. Hands-on experience with Databricks, Snowflake, Azure (Data Factory, AzureML), AWS, Hadoop. Ability to lead technical delivery and manage small teams. Strong communication and stakeholder management skills across technical and business domains. Mentoring and building high-performing data teams; understanding regulatory and data privacy implications in industrial/energy sectors. Valid U.S. driver’s license and willingness to travel to client locations as needed. Nice-to-Have Certifications in Palantir, AWS, Azure, Snowflake, Databricks or related platforms. Experience with Data Office Organization and IT Architecture. Familiarity with Digital Fluency and Hybrid Collaboration techniques. Emotional agility to navigate complex interpersonal dynamics. Experience with ML concepts and applications; knowledge of industry trends and best practices in data engineering. What We Look For We seek individuals who are technically proficient and possess collaboration, adaptability, and a passion for continuous learning. If you are driven by results and want to make a meaningful impact, we want to hear from you. EY is an equal opportunity employer. EY provides reasonable accommodations for qualified individuals with disabilities during the application process. For California applicants, additional information is available here. What We Offer You Comprehensive compensation and benefits package; base salary ranges vary by location. In the US, ranges are provided with regional adjustments. Our Total Rewards include medical/dental coverage, pension/401(k), and paid time off. Hybrid work model: most client-serving roles expect in-person collaboration 40-60% of the time. Flexible vacation policy with eligibility for EY holidays, breaks, and leaves to support well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. EY is committed to building a better working world by leveraging data, AI and technology to help clients and communities. EY is an equal employment opportunity employer; information on accommodations and accessibility is available from EY.
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