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Modern Technology Solutions, Inc. (MTSI) · 8 hours ago

Senior Digital Data Architect

Alexandria, VA

Full-time

Hybrid

Senior Level

5+ years exp

Modern Technology Solutions, Inc. (MTSI) is seeking a Senior Digital Data Architect to lead the design, implementation, and evolution of a Canonical Data Model (CDM) that integrates various data sources. The role involves architecting enterprise-scale data systems, managing ETL frameworks, and guiding teams to ensure interoperability across systems engineering and analytical workflows.

Information Technology

Growth Opportunities

No H1B

U.S. Citizen Only

Hiring Manager

Brad Gatchel, CASR, ACIR, CIR

Responsibilities

Lead the end-to-end design of a scalable CDM using Python and Pydantic

Define modeling standards, governance, and interoperability strategies across structured (tabular), unstructured (JSON/API), and MBSE (SysML, LML) data sources

Establish versioning, change control, and extensibility practices for CDM evolution

Help define unified ontology for system of system architecture

Architect and manage ETL pipelines integrating data from multiple enterprise systems

Oversee data quality, lineage, and validation standards using tools like Pandera

Design for scalability, automation, and operational monitoring

Define storage architectures using NoSQL (MongoDB, DynamoDB) and graph databases (Neo4j)

Optimize database design for query performance and relationship-heavy data

Guide decisions on indexing, caching, and hybrid storage strategies

Direct the design and development of a web interface for querying and managing CDM data

Lead integration of backend APIs (FastAPI/Django) and front-end frameworks (React/Next.js)

Promote best practices in RESTful and GraphQL API design

Lead the integration of the CDM with model orchestration tools such as Ansys ModelCenter, or open-source alternatives

Develop frameworks for orchestrating analytical flows, simulation models, and design studies using standardized interfaces

Ensure interoperability between MBSE environments, analytical models, and enterprise data repositories

Collaborate with systems engineers to implement automated data flows and traceability between system models and analytical results

Support model execution pipelines and configuration management across engineering tools and simulation environments

Develop and champion enterprise and digital data strategies

Align data structures with ontologies and semantic modeling standards (RDF, OWL)

Mentor teams on data architecture principles and reusable data design

Serve as the technical authority across cross-functional teams

Mentor mid-level engineers in data modeling, ETL design, and data quality practices

Ensure solutions align with organizational architecture and compliance standards

Using tools such as Git, GitHub, or GitLab to maintain high code quality and consistency

Support the setup, configuration, and maintenance of CI/CD pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps, or GitLab CI) to automate testing, deployment, and integration processes

Utilize collaboration tools like Confluence, Jira, and SharePoint to manage tasking and documentation

Qualification

Canonical Data ModelETL ArchitecturePythonNoSQL DatabasesFastAPIData GovernanceCloud ArchitectureMicroservice ArchitecturesData Quality PracticesStakeholder ManagementMentorship