Data Platform Engineer (Army Vantage) - Clearance Required

Overview LMI is seeking a skilled Data Platform Engineer to join our team and contribute to developing innovative software programs that support activities for the Army Materiel Command and Army’s AI2C organization in a remote capacity.  Power Platform and Application development experience is preferred, with model-driven and canvas applications leveraging Dataverse, Power Automate, JavaScript, HTML, CSS, Power Query, Dataverse dataflows.  This role is also centered on building and operating data pipelines, ontologies, and applications within Palantir Foundry (Vantage), with additional responsibilities extending into Databricks for large-scale data processing and analytics engineering.  Demonstrated know-how to integrate Vantage with external platforms, including importing and exporting data between Vantage and MicroSoft Dataverse/Power Platform is highly desired. This position offers an opportunity to provide technical leadership while strategically growing the development footprint with customers. Candidates should be comfortable working in a fast-paced, flexible environment and be self-directed, collaborative, and eager to grow technically. Candidates with the ability to be on-site in Pittsburgh are preferred.  LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.  Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.  Responsibilities Design and develop enterprise applications using Microsoft Power Platform, Dataverse, Power Apps, Power Automate, JavaScript, HTML, CSS, and Power Query  Scale Dataverse solutions with tables, data types, data mapping and entity relationship diagrams   Co-lead data engineering efforts within Palantir Foundry (Vantage), including ontology design, pipeline development, and data integration for Army AI2C mission applications  Build, maintain, and optimize Foundry pipelines using Python-based transforms (PySpark/Pipeline Builder), Code Repositories, and Foundry’s data connection framework as a key member of tech team  Develop and maintain data engineering workflows in Databricks, including notebooks, Delta Lake tables, and Spark jobs, for workloads that complement or feed into the Foundry environment  Advise and help write, design, and implement efficient, reusable, and reliable code using Python, PySpark, SQL, and TypeScript/JavaScript as needed for Foundry Workshop or Slate applications  Translate complex data science and analytics outputs into governed, reusable data products surfaced through Foundry and Databricks  Lead the integration of AI/ML capabilities into Foundry and Databricks-based applications, identifying opportunities to leverage emerging AI technologies (including Foundry AIP and Databricks ML/AI tooling)  Champion AI-forward, platform-first development practices and guide the team in implementing AI/ML features and data-driven experiences  Provide technical leadership and mentorship to grow the team’s capabilities across Foundry (Vantage) and Databricks  Identify and pursue opportunities to expand development initiatives with Army stakeholders  Collaborate effectively with data scientists, UX designers, and software developers using Git, participating in code reviews and adopting Agile methodologies  Engage with Army managers and representatives in a consultative capacity to identify data platform needs, explore innovative data-driven solutions including AI applications, and build strategic relationships that expand our development footprint  Comfortable working independently and as a member of a team, with demonstrated ability to work in strategic and consultant-oriented environments  Excellent verbal and written communication skills with ability to articulate technical concepts to non-technical stakeholders and influence strategic decisions  Qualifications Bachelor’s degree in Computer Science, Data Science, Data Engineering, Software Engineering, Information Systems, or a related field, or equivalent work experience  3-5 years of experience in data engineering, with hands-on experience building and operating applications on the Palantir Foundry (Vantage) platform  Demonstrated experience with Microsoft Power Platform, Dataverse, Power Apps and Power Automate for a Defense client/customer   Preliminary experience with Databricks, including notebooks, Delta Lake, and Spark-based data processing, as a secondary platform to Foundry  Intermediate proficiency in Python and SQL for data manipulation and pipeline development (pandas, PySpark, numpy, or similar)  Familiarity with data visualization approaches (Power BI, D3.js, Plotly, Recharts, or Foundry-native Workshop widgets) for surfacing pipeline outputs  Demonstrated experience in planning, analyzing, designing, implementing, testing, and maintaining data pipelines and applications for an enterprise-level system  Familiarity with Git, Agile methodologies, CI/CD, and automated deployments  Demonstrated experience in leadership roles, technical mentorship, or client relationship management  Active Secret Clearance or ability to obtain one is required  Additional Preferred Qualifications   Experience integrating AI/ML capabilities into Foundry or Databricks-based applications and identifying strategic AI use cases  Familiarity with AI frameworks and APIs (OpenAI, Anthropic Claude, L