Job Description

Join to apply for the Data Solution Architect role at Modern Technology Solutions, Inc. (MTSI)

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Join to apply for the Data Solution Architect role at Modern Technology Solutions, Inc. (MTSI)

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

• 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.
• 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.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Space Research and Technology

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