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Modern Technology Solutions, Inc. (MTSI) · 6 months ago

Data Solution Architect

Colorado Springs, CO

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 development of innovative data architectures. This role involves guiding cross-functional teams and advising executives to ensure the delivery of secure and scalable data solutions that align with organizational objectives.

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

Qualification

Data architecture designCloud-native architectureData governance frameworksData integration technologiesData engineering principlesAI/ML data pipelinesData modelingDesign thinking principlesTechnical leadershipUser-centered designStrategic visionExperience in regulated environments’s Degree’sCommunication 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

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