Modern Technology Solutions, Inc.
Overview
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.
Responsibilities
Lead design, development, and governance of data architectures aligned with organizational objectives and enterprise technology ecosystems.
Guide data lake, data warehouse, and lakehouse architectures to support analytics at scale; ensure security, scalability, and reliability.
Collaborate with cross-functional teams and senior executives to translate business needs into data-driven solutions.
Champion industry trends such as data mesh, data fabric, 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 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):
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
Equal Opportunity MTSI embraces nine core values including employees come first. Consistent with our Core Values, we are committed to Equal Opportunity, making decisions without regard to race, color, religion, sex, national origin, age, military/veteran status, disability, or any other characteristics protected by applicable law. MTSI is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants and employees with physical and/or mental disabilities.
For more information about MTSI, please visit www.mtsi-va.com
#J-18808-Ljbffr
Responsibilities
Lead design, development, and governance of data architectures aligned with organizational objectives and enterprise technology ecosystems.
Guide data lake, data warehouse, and lakehouse architectures to support analytics at scale; ensure security, scalability, and reliability.
Collaborate with cross-functional teams and senior executives to translate business needs into data-driven solutions.
Champion industry trends such as data mesh, data fabric, 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 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):
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
Equal Opportunity MTSI embraces nine core values including employees come first. Consistent with our Core Values, we are committed to Equal Opportunity, making decisions without regard to race, color, religion, sex, national origin, age, military/veteran status, disability, or any other characteristics protected by applicable law. MTSI is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants and employees with physical and/or mental disabilities.
For more information about MTSI, please visit www.mtsi-va.com
#J-18808-Ljbffr