EY
Palantir Engineer - Manager - Consulting - Location Open
EY, Milwaukee, Wisconsin, United States, 53244
Overview
Tech Consulting - Palantir Data Engineer – Manager Location: Anywhere in Country Base pay range: $125,500.00/yr - $230,200.00/yr At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity We are looking for a hands-on, technically oriented Manager to join our team and help deliver data-driven insights and solutions to Industrials & Energy clients. You will guide clients through the evolving world of analytics, data governance, and modern data platforms, with a strong focus on Palantir Technologies. You will be technically engaged, building solutions using Palantir Foundry tools (Pipeline Builder, Workshop, AIP Agent Studio, Contour, Quiver) and other Foundry components, while also managing and mentoring teams of strategists and engineers. You will advise clients on data strategies, governance, and modern data architecture, ensuring alignment with business objectives and regulatory requirements. This is a high-growth, high-visibility role with significant opportunities to shape data strategies across industrial and energy client operations. You will design and build analytics solutions that deliver significant business value, collaborating with data and analytics professionals, management, and stakeholders to translate business requirements into effective technical solutions. Key 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 the latest trends and emerging technologies to maintain a competitive edge. Build, deploy, and maintain solutions in Palantir Foundry, including Pipeline Builder workflows, Workshop applications, AIP Agent Studio automations, Contour integrations, and Quiver data visualizations. Translate business initiatives into prioritized use cases with measurable ROI and manage delivery across multiple domains. Define and execute the Data & AI strategy for Industrials, Manufacturing, Oil & Gas or Utilities clients, aligning with business objectives and regulatory requirements. Develop and champion data literacy programs, training, and change management initiatives to embed a data-driven culture across client organizations. Communicate analytical findings through data storytelling, dashboards, and visualizations tailored to business and technical audiences. Build and maintain trusted relationships with client stakeholders across operations, IT, engineering, and executive leadership. Stay abreast of emerging technologies, industrial domain trends, and advances in Palantir Foundry & AI platforms. Develop resource plans and budgets for engagements, ensuring effective 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 in collaboration with enterprise architects and IT. Oversee cloud-based data management platforms and technologies such as Databricks, Snowflake, Azure, AWS, and Hadoop. Drive the 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, with the ability to convey complex information clearly. Proven experience in managing and delivering projects effectively. Ability to build and manage relationships with clients and stakeholders. To qualify for the role, you must have Bachelor’s degree required; master’s preferred in a quantitative or technical field (e.g., statistics, computer science, engineering, mathematics) with either prior consulting experience or Industrials & Energy company experience preferred. At least 5 years of relevant experience in data analytics, data governance, or data strategy, preferably in industrial, energy, or related sectors. At least 3 years of hands-on experience with Palantir Foundry, including Pipeline Builder, Workshop, AIP Agent Studio, Contour, Quiver, and related tools. Deep knowledge of data governance, including data quality frameworks, stewardship models, compliance, and policy creation. Demonstrated experience designing and deploying scalable data architectures. Proficiency with data analytics tools and platforms: SQL, Python, R, Power BI, Tableau, Dataiku, or similar. Expertise in advanced analytics, data science, and machine learning approaches to solve operational or financial challenges. Hands-on experience with big data and cloud platforms such as Databricks, Snowflake, Azure (Data Factory, AzureML), AWS, Hadoop. Ability to lead technical delivery and manage small teams effectively. Strong communication and stakeholder management skills across technical and business domains. Passion for mentoring, knowledge sharing, and building high-performing data teams. Strong understanding of regulatory and data privacy implications within industrial or energy sectors. A valid U.S. driver’s license and willingness to travel to client locations as needed. Ideally, you’ll also 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. Strong emotional agility to navigate complex interpersonal dynamics. Experience with advanced data analytics tools and techniques. Familiarity with machine learning 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. What We Offer You Comprehensive compensation and benefits package with base salary ranges noted above; location-based variations apply. Hybrid work model with most client-facing roles expected to work in person 40-60% of the time. Flexible vacation policy and paid holidays, with additional leaves to support well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. For those living in California, please click here for additional information. EY is an equal opportunity employer. EY | Building a better working world. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you need assistance applying online or an accommodation during any part of the application process, please contact EY’s Talent Shared Services Team. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries: Professional Services
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Tech Consulting - Palantir Data Engineer – Manager Location: Anywhere in Country Base pay range: $125,500.00/yr - $230,200.00/yr At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity We are looking for a hands-on, technically oriented Manager to join our team and help deliver data-driven insights and solutions to Industrials & Energy clients. You will guide clients through the evolving world of analytics, data governance, and modern data platforms, with a strong focus on Palantir Technologies. You will be technically engaged, building solutions using Palantir Foundry tools (Pipeline Builder, Workshop, AIP Agent Studio, Contour, Quiver) and other Foundry components, while also managing and mentoring teams of strategists and engineers. You will advise clients on data strategies, governance, and modern data architecture, ensuring alignment with business objectives and regulatory requirements. This is a high-growth, high-visibility role with significant opportunities to shape data strategies across industrial and energy client operations. You will design and build analytics solutions that deliver significant business value, collaborating with data and analytics professionals, management, and stakeholders to translate business requirements into effective technical solutions. Key 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 the latest trends and emerging technologies to maintain a competitive edge. Build, deploy, and maintain solutions in Palantir Foundry, including Pipeline Builder workflows, Workshop applications, AIP Agent Studio automations, Contour integrations, and Quiver data visualizations. Translate business initiatives into prioritized use cases with measurable ROI and manage delivery across multiple domains. Define and execute the Data & AI strategy for Industrials, Manufacturing, Oil & Gas or Utilities clients, aligning with business objectives and regulatory requirements. Develop and champion data literacy programs, training, and change management initiatives to embed a data-driven culture across client organizations. Communicate analytical findings through data storytelling, dashboards, and visualizations tailored to business and technical audiences. Build and maintain trusted relationships with client stakeholders across operations, IT, engineering, and executive leadership. Stay abreast of emerging technologies, industrial domain trends, and advances in Palantir Foundry & AI platforms. Develop resource plans and budgets for engagements, ensuring effective 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 in collaboration with enterprise architects and IT. Oversee cloud-based data management platforms and technologies such as Databricks, Snowflake, Azure, AWS, and Hadoop. Drive the 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, with the ability to convey complex information clearly. Proven experience in managing and delivering projects effectively. Ability to build and manage relationships with clients and stakeholders. To qualify for the role, you must have Bachelor’s degree required; master’s preferred in a quantitative or technical field (e.g., statistics, computer science, engineering, mathematics) with either prior consulting experience or Industrials & Energy company experience preferred. At least 5 years of relevant experience in data analytics, data governance, or data strategy, preferably in industrial, energy, or related sectors. At least 3 years of hands-on experience with Palantir Foundry, including Pipeline Builder, Workshop, AIP Agent Studio, Contour, Quiver, and related tools. Deep knowledge of data governance, including data quality frameworks, stewardship models, compliance, and policy creation. Demonstrated experience designing and deploying scalable data architectures. Proficiency with data analytics tools and platforms: SQL, Python, R, Power BI, Tableau, Dataiku, or similar. Expertise in advanced analytics, data science, and machine learning approaches to solve operational or financial challenges. Hands-on experience with big data and cloud platforms such as Databricks, Snowflake, Azure (Data Factory, AzureML), AWS, Hadoop. Ability to lead technical delivery and manage small teams effectively. Strong communication and stakeholder management skills across technical and business domains. Passion for mentoring, knowledge sharing, and building high-performing data teams. Strong understanding of regulatory and data privacy implications within industrial or energy sectors. A valid U.S. driver’s license and willingness to travel to client locations as needed. Ideally, you’ll also 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. Strong emotional agility to navigate complex interpersonal dynamics. Experience with advanced data analytics tools and techniques. Familiarity with machine learning 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. What We Offer You Comprehensive compensation and benefits package with base salary ranges noted above; location-based variations apply. Hybrid work model with most client-facing roles expected to work in person 40-60% of the time. Flexible vacation policy and paid holidays, with additional leaves to support well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. For those living in California, please click here for additional information. EY is an equal opportunity employer. EY | Building a better working world. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you need assistance applying online or an accommodation during any part of the application process, please contact EY’s Talent Shared Services Team. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries: Professional Services
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