Data Architect/Program Lead

Seneca Resources; West Virginia; Remote; USD 180,000 - 225,000; Full time

Job summary

Seneca Resources seeks a senior Data Architect/Program Lead to architect and govern large-scale data solutions for a national security program. The role emphasizes cloud-based data lakes/warehouses and data mesh, with on-going governance and stakeholder alignment.

Remote-first with on-site CJIS collaboration in West Virginia as needed. The candidate will lead cross-functional teams, drive Agile practices, and mentor data engineers while ensuring reliable analytics and secure data practices.

Qualifications

• 8+ years in data architecture with lakes, warehouses and mesh.
• 5+ years with cloud data platforms (AWS/Azure/GC).
• 2+ years leading data engineering teams.
• Degree in CS/IS/Data Eng preferred.

Responsibilities

• Participates in planning, high-level design of data solutions.
• Develops scalable cloud-based data infrastructure.
• Designs ETL pipelines using AWS services for analytics.
• Collaborates to deploy domain-specific data products.
• Establishes data governance and lineage requirements.
• Maintains data catalog and governance tools.
• Leads data mesh implementation and support.
• Ensures availability and reliability of Data Mesh software.
• Provides training on data mesh concepts for stakeholders.
• Aligns data architecture with business goals; supports analytics and innovation.

Skills

Data architecture

Leadership

Agile methodologies

Jira/Confluence

Data modeling

Education

Bachelor's or Master's in CS/IS/Data Eng

Tools

AWS

Azure

Google Cloud

ETL

Data mesh

Job description

Position Title: Data Architect/Program Lead

Location: West Virginia (100% Remote)

Clearance Requirements: Active Secret

Type: Direct Hire

Salary: $180-200k/annum (can go up to max 225k)

Client's Original Job Description

Job Title: Data Architect/Program Lead (Team 1)

Client: Federal Bureau of Investigation (FBI)

Clearance Required: Active Secret or above

Location: Remote/ Clarksburg, WV (The primary place of performance shall be remote work at the Contractor’s designated workspaces, to allow for efficient project execution while maximizing resource utilization. All Contractors on this Call Order shall be available to come on-site to the CJIS facility in Clarksburg, WV to pick up equipment and attend in-person meetings as needed.)

Responsibilities

• 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.

Qualifications And Experience

• 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.