Data Solution Architect

1. 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.

1. 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.

1. Leadership and Communication:

• Strong communicator and technical leader with experience advising executives, managing cross-functional initiatives, and mentoring junior architects and engineers.

1. Governance and Security:

• Hands-on knowledge of data governance frameworks, privacy regulations like GDPR/CCPA, and security across structured, semi-structured, and unstructured data.

1. 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.

1. 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).

1. 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.

1. Strategic Vision:

• Ability to align technical architectures with business strategy and translate complex requirements into elegant data-driven solutions.

1. AI and MLOps:

• 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.

• 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).
• Master's or PhD in a related field (strongly preferred).

• Work from a local MTSI office

• An active TS/SCI security clearance is required to start
• SAP experience preferred but not required
• US Citizenship is required

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  Interesting Work:
  
  
  
  Our co-workers support some of the most important and critical programs to our national defense and security.
  
  
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  Values:
  
  
  
  Our first core value is that employees come first. We challenge our co-workers to provide the highest level of support and service, and reward them with some of the best benefits in the industry.
  
  
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  100% Employee Owned:
  
  
  
  We have a stake in each other's success, and the success of our customers. It's also nice to know what's going on across the company; we have company wide town-hall meetings three times a year.
  
  
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  Great Benefits - Most Full-Time Staff Are Eligible for:
  
  
  




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  Starting PTO accrual of 20 days PTO/year + 10 holidays/year
  
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  Flexible schedules
  
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  6% 401k match with immediate vesting
  
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  Semi-annual bonus eligibility (July and Decemeber)
  
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  Company funded Employee Stock Ownership Plan (ESOP) - a separate qualified retirement account
  
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  Up to $10,000 in annual tuition reimbursement
  
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  Other company funded benefits, like life and disability insurance
  
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  Optional zero deductible Blue Cross/Blue Shield health insurance plan
  




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  Track Record of Success:
  
  
  
  We have grown every year since our founding in 1993.
  
  

Modern 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 delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide.

For more information about MTSI, please visit www.mtsi-va.com