Data Solution Architect (Alexandria) Job at Modern Technology Solutions, Inc. (MTSI), Alexandria, VA

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  • Modern Technology Solutions, Inc. (MTSI)
  • Alexandria, VA

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

  • 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:
  • Bachelors Degree in Computer Science, Engineering, Information Systems, or related technical field (required).
  • Masters 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
  • Industries

    Space Research and Technology

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Job Tags

Full time, Work at office, Local area,

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