Data Architect

Summary

Join AnaVation's growing team as a Data Architect SME and make a daily difference! This exciting work program requires experience deploying and maintaining Data Mesh architecture in federal government environments, using Agile processes and the SAFe framework. You will participate in planning and designing data solutions, develop and maintain cloud-based data infrastructure, and design ETL pipelines using AWS services. Collaboration with data domain teams, establishing data governance practices, and leading Data Mesh architecture implementation are key responsibilities. The role involves ensuring data availability and reliability, providing guidance on data mesh principles, and communicating with stakeholders. This mostly remote position may require occasional travel to Clarksburg, WV.

Requirements

• A bachelor’s or master’s degree in computer science, Information Systems, Data Engineering, or a related technical field, preferred. In lieu of degree, minimum of fourteen (14) years relevant experience required
• 8 years
• 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
• Five (5) years of experience working with cloud-based data platforms (e.g., AWS, Azure, Google Cloud), particularly for data storage, processing, and analytics
• Demonstrated two (2) years of experience leading and mentoring data engineering teams, fostering collaboration, and ensuring successful project execution
• Expertise in cloud-native data engineering within AWS environments (S3, Redshift, Glue, Lake Formation, Lambda)
• Solid understanding of Data Mesh concepts and decentralized data architecture
• Experience working in an Agile organization using Scrum, Kanban, Jira, Confluence, and SAFe
• This position requires an active Secret clearance

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

Benefits

• Generous cost sharing for medical insurance for the employee and dependents
• 100% company paid dental insurance for employees and dependents
• 100% company paid long-term and short term disability insurance
• 100% company paid vision insurance for employees and dependents
• 401k plan with generous match and 100% immediate vesting
• Competitive Pay
• Generous paid leave and holiday package
• Tuition and training reimbursement
• Life and AD&D Insurance