Data Solution Architect jobs in United States
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Modern Technology Solutions, Inc. (MTSI) · 18 hours ago

Data Solution Architect

Modern Technology Solutions, Inc. (MTSI) is looking for a Data Solution Architect to lead the design, development, and governance of advanced data architectures. The role involves guiding cross-functional teams and advising senior executives to deliver scalable and secure data solutions that align with organizational objectives.

Information Technology
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Growth Opportunities
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Responsibilities

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)
Ability to align technical architectures with business strategy and translate complex requirements into elegant data-driven solutions
Familiarity with AI/ML data pipelines, model training environments, and MLOps integration (considered a plus)
Prior success in regulated, mission-critical, and government environments
Experience designing secure or classified data solutions for sensitive applications

Qualification

Data architecture designCloud-native architectureData governance frameworksData integration technologiesData engineering principlesAI/ML data pipelinesModern data platformsDesign thinking principlesUser-centered designStrategic visionPrivacy regulationsSecurity knowledgeRegulated environmentsSAP experienceLeadershipCommunicationMentoring

Required

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
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
Familiarity with AI/ML data pipelines, model training environments, and MLOps integration (considered a plus)
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

Preferred

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
Master's or PhD in a related field (strongly preferred)
SAP experience preferred but not required

Company

Modern Technology Solutions, Inc. (MTSI)

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Modern Technology Solutions, Inc.

Funding

Current Stage
Late Stage

Leadership Team

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Kevin Robinson
President and CEO
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