Data Solution Architect

Modern Technology Solutions Inc • Dayton, OH

3d • Onsite

About The Position

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.

Requirements

• 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.
• 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.
• Strong communicator and technical leader with experience advising executives, managing cross-functional initiatives, and mentoring junior architects and engineers.
• Hands-on knowledge of data governance frameworks, privacy regulations like GDPR/CCPA, and security across structured, semi-structured, and unstructured data.
• 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.
• Expertise in data integration technologies (e.g., Apache Airflow, Talend, Informatica, Fivetran).
• Experience with real-time streaming pipelines (e.g., Kafka, Kinesis, Flink).
• 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.
• Ability to align technical architectures with business strategy and translate complex requirements into elegant data-driven solutions.
• Prior success in regulated, mission-critical, and government environments.
• Experience designing secure or classified data solutions for sensitive applications.
• Bachelor’s Degree in Computer Science, Engineering, Information Systems, or related technical field (required).
• An active TS/SCI security clearance is required to start
• US Citizenship is required

Nice To Haves

• Familiarity with AI/ML data pipelines, model training environments, and MLOps integration (considered a plus).
• 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.
• Master’s or PhD in a related field (strongly preferred).
• SAP experience preferred but not required

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees