Dataverse Data Architect

Overview

We are seeking a Dataverse Data Architect
to join a multidisciplinary team supporting the Department of Homeland Security (DHS) Customs and Border Protection (CBP) Program Management Office (PMO). This role is ideal for engineers who are passionate about applying technical expertise to real-world national security challenges and advancing mission-critical capabilities through research, evaluation, and informed decision-making.
This position requires U.S. citizenship and the ability to obtain a CBP Background Investigation (BI) is required; active CBP BI preferred. This position requires 20% travel that may entail remote and rugged areas.

The Dataverse Data Architect will work closely with CBP stakeholders, program managers, and technical experts to assess technologies, guide development efforts, inform program strategies, and enable effective deployment of integrated systems. This includes both field-focused technical assessments and the development of supporting engineering and programmatic documentation. The ideal candidate has experience with research, development, test, and evaluation (RDT&E), and can bridge the gap between emerging capability and mission utility.

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.

• Design, implement, and govern scalable data models and data integration solutions using Microsoft Dataverse and the Power Platform.
• Develop conceptual, logical, and physical data models, including Dataverse tables, columns, relationships, business rules, choices, lookup fields, calculated fields, and rollup fields.
• Define Dataverse data architecture standards, reusable patterns, naming conventions, and best practices.
• Design and document Dataverse security models, including business units, security roles, teams, row-level access, field-level security, auditing, and environment-level controls.
• Develop integration architecture between Dataverse, Power Platform, Microsoft 365, Dynamics 365, Azure, and external systems.
• Support data migration, transformation, mapping, validation, and data quality management activities.
• Design dataflows, virtual tables, APIs, connectors, and other integration mechanisms to support enterprise data exchange.
• Support Power Platform environment strategy, including development, test, staging, and production environments.
• Support application lifecycle management, including managed and unmanaged solutions, publishers, versioning, deployment processes, and release management.
• Evaluate when to use Dataverse, SharePoint, SQL Server, Azure SQL, data lake, or other storage platforms based on business, security, performance, and scalability needs.
• Support reporting and analytics using Power BI, Dataverse connectors, and data export options.
• Establish data governance practices for data ownership, quality, retention, classification, metadata management, and access control.
• Collaborate with business stakeholders, solution architects, developers, security teams, privacy teams, and governance teams to translate business requirements into technical…