Data Solutions Architect

RS&H, Inc.
Data Solutions Architect

US--

Job :

# of Openings: 1

Category: Data/AI

Remote Associate Location

Employee-owned, RS&H is one of the nation's leading architecture, engineering, and consulting firms, with associates who work hard every day to create tomorrow together. We offer an exceptional journey from start to future. Our integrated teams translate experience into insight, turn challenges into opportunities, and build relationships that are as strong as the buildings and infrastructure we deliver together. We attribute our success to our unwavering commitment to our core values: integrity, accountability, curiosity, and teamwork.

RS&H is seeking an experienced Data Solutions Architect to design and deliver secure, scalable, and client-focused data and artificial intelligence solutions across our aviation, federal, transportation, aerospace, health and science, and corporate market sectors.

In this highly influential technical role, you will transform complex and inconsistent data into trusted pipelines, analytical models, predictive solutions, and visualizations that support critical client decisions. You will also identify recurring market needs and help turn early-stage concepts into configurable, production-ready digital offerings.

The majority of this role focuses on advancing data and AI solutions from concept through requirements, architecture, development, testing, validation, and deployment. You will establish technical standards, strengthen data governance and model lifecycle practices, and lead a community of practice that builds data capabilities across the organization.

This position has no direct reports but provides authoritative technical direction, guidance, and mentorship to project teams, architects, engineers, and junior staff.

• Design and Deliver Data and AI Solutions
  • Lead the development of data, analytics, artificial intelligence, and visualization offerings, supporting solution scoping, client pursuits, production-grade delivery, governance, and data-practice enablement.
  • Translate challenges in buildings, infrastructure, and construction management into reusable data and AI products with clearly defined interfaces and service levels.
  • Design reusable solutions using application programming interfaces (APIs), event streams, curated datasets, feature stores, and visualization layers.
  • Prepare system diagrams, architecture decision records, data contracts, reference implementations, and build-versus-buy recommendations.
  • Architect geospatial intelligence solutions that integrate geographic information system (GIS) data, two-dimensional drawings, three-dimensional models, operational information, and sensor data.
  • Develop and deploy analytical and predictive models using time-series forecasting, causal inference, ensemble methods, and other machine learning techniques.
  • Create and operationalize interactive dashboards, analytical interfaces, and visualizations using Power BI and related tools.
  • Translate model outputs and statistical findings into actionable insights for both technical and non-technical audiences.
  • Advance associate-developed generative AI prototypes into secure, reliable, production-ready solutions.
  • Establish data quality requirements, validation processes, and remediation approaches as solutions move from development into production.
  • Incorporate data ownership, stewardship, lineage, quality, access controls, and model lifecycle management throughout solution development.
  • Design solutions that address architecture, engineering, construction, and public-sector requirements, including Controlled Unclassified Information (CUI), NIST 800-171, Cybersecurity Maturity Model Certification (CMMC), client data isolation, operational technology and information technology separation, and Microsoft Government Community Cloud High (GCC High) environments.
  • Develop reusable accelerators, including templates, schemas, connectors, evaluation frameworks, automated validation processes, authorization workflows, and infrastructure provisioning components.
  • Evaluate new ideas against defined advancement criteria and help teams shape concepts into viable data and AI offerings.
  • Collaborate with legal, finance, business subject matter experts, developers, and multidisciplinary product teams throughout the solution lifecycle.
• Scope End-to-End Solutions
  • Lead and participate in client and stakeholder discovery sessions.
  • Translate business needs and analytical questions…