Data Architect (SME)

Concept Solutions, LLC; Virginia (MN); Remote; USD 90,000 - 150,000; Full time

Job summary

An established industry player is looking for a highly skilled Data Architect to lead the design and implementation of cloud-based data solutions. This fully remote role involves modernizing data management systems and collaborating with cross-functional teams to enhance operational excellence. The ideal candidate will have extensive experience in data architecture, cloud technologies, and team leadership, driving innovation and ensuring compliance with data governance practices. Join a dynamic environment where your expertise will contribute to critical national security objectives and public safety initiatives.

Qualifications

• 8+ years in Data Architecture with experience in data lakes and data warehouses.
• 5+ years with cloud platforms, particularly AWS, Azure, or Google Cloud.

Responsibilities

• Design and implement scalable cloud-based data architectures.
• Lead data engineering teams and ensure alignment with business goals.

Skills

Data Architecture

Cloud Technologies

ETL Pipelines

Data Governance

Agile Methodologies

Team Leadership

Education

Bachelor's in Computer Science

Master's in Information Systems

Tools

AWS

Azure

Google Cloud

Jira

Confluence

Job description

Description

Concept Solutions, LLC is seeking a highly skilled Data Architect (SME) to provide expert-level support for a federal law enforcement customer’s IT systems. This remote role is based out of Clarksburg, WV and plays a critical part in modernizing infrastructure, improving data management, and enabling collaborative platforms through the use of cloud technologies, DevSecOps practices, and industry best standards. The program operates in a dynamic, fast-paced environment where cross-functional teams work closely with government stakeholders to drive continuous improvement, system resilience, and operational excellence in support of public safety and national security objectives. This is a fully remote position and contingent hire for an upcoming proposal.

The Data Architect serves as the technical lead responsible for designing and implementing scalable, cloud-based data architectures across the enterprise. This individual brings deep expertise in building and managing data lakes, warehouses, and mesh frameworks, while leveraging modern cloud platforms like AWS, Azure, or Google Cloud. With proven experience leading data engineering teams, the Data Architect ensures that architectural solutions align with mission objectives, support analytics, and meet performance and security requirements. This role is critical in driving innovation, integration, and long-term data strategy.

The Data Architect (SME) shall be responsible for the following:

• Participates in planning, definition, and high-level design of data solutions, exploring alternatives and evaluating new technologies.
• Develops and maintains scalable cloud-based data infrastructure, ensuring alignment with the organization's decentralized data management strategy.
• Designs and implements ETL pipelines using AWS services (e.g., S3, Redshift, Glue, Lake Formation, Lambda) to support data domain requirements and self-service analytics.
• Collaborates with data domain teams to design and deploy domain-specific data products, adhering to organizational standards for schema design, data transformations, and storage solutions.
• Establishes and enforces data governance practices, including compliance with data privacy, access controls, and lineage requirements, across the organization’s data assets.
• Maintains a comprehensive data catalog and governance tools, automating workflows to uphold data integrity and ensure discoverability across all domains.
• Leads the implementation and ongoing support of data mesh architecture, ensuring seamless integration and data flow across multiple domains.
• Ensures the availability and reliability of the organization’s Data Mesh software, managing operations and maintenance of the framework.
• Provides guidance and leadership on the cultural adoption of data mesh principles, including organizational training initiatives for data stewards and users.
• Communicates effectively with stakeholders to align technical data architecture with business goals, ensuring long-term support for analytics, insights, and innovation.
• Experience working in an Agile organization using Scrum, Kanban, Jira, Confluence, and SAFe.
• Provide team specific training as needed.

Requirements

• Experience in Data Architecture: Minimum of eight (8) years of experience designing and implementing data architectures, including large-scale data environments such as data lakes, data warehouses, and data mesh frameworks.
• Experience with Cloud Platforms: Minimum of five (5) years of experience working with cloud-based data platforms (e.g., AWS, Azure, Google Cloud), particularly for data storage, processing, and analytics.
• Leadership and Team Management: Demonstrated two (2) years of experience leading and mentoring data engineering teams, fostering collaboration, and ensuring successful project execution.
• Education: A bachelor’s or master’s degree in computer science, Information Systems, Data Engineering, or a related technical field, preferred.
• Clearance Requirement: Must be able to obtain and maintain a Top Secret Clearance.