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Modern Technology Solutions, Inc. (MTSI) · 5 months ago

Data Solution Architect

Alexandria, VA

Full-time

Onsite

Senior Level, Lead/Staff

15+ years exp

Modern Technology Solutions, Inc. (MTSI) is looking for a Data Solution Architect to lead the design and governance of advanced data architectures. The role involves guiding teams and advising executives to create scalable data solutions while focusing on innovations in data management and cloud technologies.

Information Technology

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Lead the design, development, and governance of cutting-edge data architectures tailored to align with organizational objectives and complex enterprise technology ecosystems

Guide cross-functional teams and advise senior executives to deliver scalable and secure data solutions

Enable mission-critical systems while championing industry trends such as data mesh, hybrid cloud architectures, and AI/ML pipelines

Design and govern data lakes, data warehouses, and lakehouse architectures to support analytics at scale

Collaborate with UI/UX teams to ensure systems are intuitive, usable, and responsive to user needs

Advise executives, manage cross-functional initiatives, and mentor 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

Align technical architectures with business strategy and translate complex requirements into elegant data-driven solutions

Qualification

Data architecture designCloud-native architectureData governance frameworksData integration technologiesData engineering principlesAI/ML pipelinesDesign thinking principlesData modelingTechnical leadershipUser-centered designStrategic visionCollaboration with UI/UXPrivacy regulations knowledgeSecurity knowledgeMission-critical expertiseSAP experienceCommunication skillsMentoring skills

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

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)

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

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

Certified Data Management Professional (CDMP) – DAMA International

AWS Certified Data Analytics – Specialty

Google Professional Data Engineer

Azure Solutions Architect Expert