AnaVation is seeking an experienced Data Architect SME to join their growing team and make a difference every day.
The successful candidate will have experience deploying and maintaining the Data Mesh architecture, ensuring efficient management, accessibility, and interoperability of enterprise data across systems, preferably in federal government environments.
Key responsibilities include participating in planning, definition, and high-level design of data solutions, exploring alternatives and evaluating new technologies.
The role involves developing and maintaining scalable cloud-based data infrastructure, ensuring alignment with the organization's decentralized data management strategy.
The candidate will design and implement ETL pipelines using AWS services (e.g., S3, Redshift, Glue, Lake Formation, Lambda) to support data domain requirements and self-service analytics.
Collaboration with data domain teams to design and deploy domain-specific data products, adhering to organizational standards for schema design, data transformations, and storage solutions is essential.
The position requires establishing and enforcing data governance practices, including compliance with data privacy, access controls, and lineage requirements across the organization’s data assets.
The candidate will maintain a comprehensive data catalog and governance tools, automating workflows to uphold data integrity and ensure discoverability across all domains.
Leading the implementation and ongoing support of data mesh architecture, ensuring seamless integration and data flow across multiple domains is a key responsibility.
The role includes ensuring the availability and reliability of the organization’s Data Mesh software, managing operations and maintenance of the framework.
The candidate will provide guidance and leadership on the cultural adoption of data mesh principles, including organizational training initiatives for data stewards and users.
Effective communication with stakeholders to align technical data architecture with business goals is crucial for ensuring long-term support for analytics, insights, and innovation.
This position is mostly remote but may require occasional trips to the customer location in Clarksburg, WV, with remote status subject to change according to customer direction.
Requirements:
A bachelor’s or master’s degree in computer science, Information Systems, Data Engineering, or a related technical field is preferred; in lieu of a degree, a minimum of fourteen (14) years of relevant experience is required.
The candidate must have at least 8 years of experience in the field.
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 is required.
Five (5) years of experience working with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) is necessary, particularly for data storage, processing, and analytics.
The candidate should have 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) is essential.
A solid understanding of Data Mesh concepts and decentralized data architecture is required.
Experience working in an Agile organization using Scrum, Kanban, Jira, Confluence, and SAFe is necessary.
This position requires an active Secret clearance.
Benefits:
AnaVation offers generous cost sharing for medical insurance for the employee and dependents.
The company provides 100% company-paid dental insurance for employees and dependents.
Employees receive 100% company-paid long-term and short-term disability insurance.
The company also offers 100% company-paid vision insurance for employees and dependents.
A 401k plan with generous match and 100% immediate vesting is available.
Competitive pay is provided to employees.
AnaVation offers a generous paid leave and holiday package.
Tuition and training reimbursement is available for employees.
