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Alexandria, VA; Dayton, Ohio; Huntsville, Alabama; Colorado Springs, ColoradoModern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance.
MTSI is looking for a Data Solution Architect. You will lead the design, development, and governance of cutting-edge data architectures tailored to align with organizational objectives and complex enterprise technology ecosystems. With a proven track record in innovation and leadership, you will be a strategic influencer, guiding cross-functional teams and advising senior executives to deliver scalable and secure data solutions. Your contributions will be central to enabling mission-critical systems while championing industry trends such as data mesh, hybrid cloud architectures, and AI/ML pipelines.
Qualifications and Requirements
- Architectural Focus:
- Proven ability to design and govern data lakes, data warehouses, and lakehouse architectures to support analytics at scale.
- Proficiency in cloud-native data architecture, including data mesh, data fabric, and hybrid environments across AWS, Azure, and GCP ecosystems.
- Design Thinking:
- Familiarity with design thinking principles and user-centered data product design.
- Collaborate with UI/UX teams to ensure systems are intuitive, usable, and responsive to user needs.
- Leadership and Communication:
- Strong communicator and technical leader with experience advising executives, managing cross-functional initiatives, and mentoring junior architects and engineers.
- Governance and Security:
- Hands-on knowledge of data governance frameworks, privacy regulations like GDPR/CCPA, and security across structured, semi-structured, and unstructured data.
- Technical Expertise:
- Strong knowledge of modern data platforms like Snowflake, Databricks, Google BigQuery, AWS Redshift, or Azure Synapse.
- Deep expertise in data engineering principles, data modeling (conceptual, logical, physical), and metadata management using advanced tools like ER/Studio, dbt, Apache Atlas.
- Integration and Pipelines:
- Expertise in data integration technologies (e.g., Apache Airflow, Talend, Informatica, Fivetran).
- Experience with real-time streaming pipelines (e.g., Kafka, Kinesis, Flink).
- Experience:
- Minimum of 15 years in data architecture, data engineering, or enterprise data systems.
- Proven background in designing and implementing large-scale, high-performance, secure data solutions.
- Strategic Vision:
- Ability to align technical architectures with business strategy and translate complex requirements into elegant data-driven solutions.
- AI and MLOps:
- Familiarity with AI/ML data pipelines, model training environments, and MLOps integration (considered a plus).
Certifications (Strongly Desired):
- Certified Data Management Professional (CDMP) – DAMA International.
- AWS Certified Data Analytics – Specialty.
- Google Professional Data Engineer.
- Azure Solutions Architect Expert.
- TOGAF or equivalent enterprise architecture certification.
Mission-Critical Expertise:
- Prior success in regulated, mission-critical, and government environments.
- Experience designing secure or classified data solutions for sensitive applications.
Educational Background:
- Bachelor’s Degree in Computer Science, Engineering, Information Systems, or related technical field (required).
- Master’s or PhD in a related field (strongly preferred).
Work Location:
- Work from a local MTSI office
Security Requirements:
- An active TS/SCI security clearance is required to start
- SAP experience preferred but not required
- US Citizenship is required
Why Join Us?
As a Data Solution Architect, you will work on transformative initiatives with a team of dynamic experts in technology and innovation. Your contributions will impact organizational strategy in cloud ecosystems, data platform modernization, and advanced analytics, empowering mission-critical operations in regulated environments.