Offer summary

Qualifications:

Bachelor's or master's degree in computer science, Information Systems, Data Engineering, or related field., At least 8 years of experience in data architecture, including data lakes, warehouses, and data mesh frameworks., Minimum of 5 years of experience with cloud-based data platforms such as AWS, Azure, or Google Cloud., Demonstrated leadership with at least 2 years of managing and mentoring data engineering teams..

Key responsibilities:

Design and plan high-level data solutions and explore new technologies.

Develop and maintain scalable cloud-based data infrastructure aligned with organizational strategies.

Design and implement ETL pipelines using AWS services to support data requirements.

Lead the adoption and support of data mesh architecture across the organization.

Job description

Salary: $130K with Benefits

Clearance Required: Active Secret

Location: Remote/Clarksburg, WV The primary place of performance shall be remote work at the Contractors 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 organizations 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 organizations 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 bachelors or masters degree in computer science, Information Systems, Data Engineering, or a related technical field, preferred.

Required profile