Data Solution Architect

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.