Lead Data Architect

Location: Hybrid, 1 day a week onsite Tysons Corner, VA

Clearance: Active Secret or Above

Job Type: Full-Time Target Salary Range*:$150,000 - $170,000 *This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary

Position Overview: The Data Architect supports planning, design, implementation, governance, and sustainment of scalable cloud-based data solutions. This role develops data infrastructure, supports domain-specific data products, implements data mesh architecture, and aligns technical data architecture with business goals to support analytics, insights, and innovation.

Key Responsibilities: Data Architecture and Solution DesignParticipate in planning, definition, and high-level design of data solutions. Explore alternatives and evaluate new technologies. Develop and maintain scalable cloud-based data infrastructure. Ensure data infrastructure aligns with the organization’s decentralized data management strategy. Communicate effectively with stakeholders to align technical data architecture with business goals. ETL, Cloud Data Platforms, and Data ProductsDesign and implement ETL pipelines using AWS services, including S3, Redshift, Glue, Lake Formation, and Lambda. Support data domain requirements and self-service analytics. Collaborate with data domain teams to design and deploy domain-specific data products. Adhere to organizational standards for schema design, data transformations, and storage solutions. Data Governance and Catalog ManagementEstablish and enforce data governance practices, including compliance with data privacy, access controls, and lineage requirements. Maintain a comprehensive data catalog and governance tools. Automate workflows to uphold data integrity and ensure discoverability across all domains. Data Mesh Implementation and OperationsLead the implementation and ongoing support of data mesh architecture. Ensure seamless integration and data flow across multiple domains. Ensure the availability and reliability of the organization’s Data Mesh software. Manage operations and maintenance of the Data Mesh framework. Agile Collaboration, Training, and LeadershipApply experience working in an Agile organization using Scrum, Kanban, Jira, Confluence, and SAFe. Provide guidance and leadership on the cultural adoption of data mesh principles. Support organizational training initiatives for data stewards and users. Provide team-specific training as needed.

Qualifications: EducationBachelor’s or master’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field preferred. ExperienceMinimum 8 years of experience designing and implementing data architectures, including large-scale data environments such as data lakes, data warehouses, and data mesh frameworks.[Required] Minimum 5 years of experience working with cloud-based data platforms, such as AWS, Azure, or Google Cloud, particularly for data storage, processing, and analytics.[Required] 2 years of demonstrated experience leading and mentoring data engineering teams, fostering collaboration, and ensuring successful project execution.[Required] Experience working in an Agile organization using Scrum, Kanban, Jira, Confluence, and SAFe. SkillsAbility to design and maintain scalable cloud-based data infrastructure. Ability to design and implement ETL pipelines using AWS services. Ability to establish and enforce data governance practices. Ability to maintain data catalogs and governance tools. Ability to support data mesh architecture, integration, operations, and maintenance. Ability to communicate effectively with stakeholders. Ability to provide guidance, leadership, and team-specific training.