Modern Technology Solutions, Inc.
Data Solution Architect
Modern Technology Solutions, Inc., Dayton, Ohio, United States, 45444
Overview
MTSI is looking for a Data Solution Architect. You will lead the design, development, and governance of data architectures aligned with organizational objectives and complex enterprise technology ecosystems. You will guide cross-functional teams, advise senior executives, and deliver scalable and secure data solutions. You will champion 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 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:
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.
MTSI is a 100% employee-owned engineering services and solutions company founded in 1993, with offices and field sites worldwide. For more information, visit www.mtsi-va.com.
MTSI embraces nine core values, including putting employees first. We are committed to Equal Opportunity and providing reasonable accommodations to applicants and employees with disabilities.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, military/veteran status, disability, or any other characteristic protected by law.
Note: This description reflects the current requirements for the role and may be subject to change.
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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):
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:
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.
MTSI is a 100% employee-owned engineering services and solutions company founded in 1993, with offices and field sites worldwide. For more information, visit www.mtsi-va.com.
MTSI embraces nine core values, including putting employees first. We are committed to Equal Opportunity and providing reasonable accommodations to applicants and employees with disabilities.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, military/veteran status, disability, or any other characteristic protected by law.
Note: This description reflects the current requirements for the role and may be subject to change.
#J-18808-Ljbffr