Data Architect - SME

About the Role

Key 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.
• Supports and participates in Agile ceremonies such as PI Planning, Sprint Reviews, and Daily Standups, using tools like JIRA and Confluence.
• Breaks down work into manageable features and user stories with clear acceptance criteria, maintaining product and iteration backlogs.

Requirements

• Active Secret Clearance or higher.
• 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.
• 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.
• Demonstrated two (2) years of experience leading and mentoring data engineering teams.
• Proficiency in AWS services including S3, Redshift, Glue, Lake Formation, and Lambda.
• Comprehensive understanding of data governance practices, including privacy, access controls, and lineage management.
• Experience with data catalog and governance tools to automate workflows and uphold data integrity.
• Experience in supporting and maintaining Data Mesh software and frameworks.
• Ability to communicate effectively with stakeholders and lead organizational training initiatives on data mesh principles.

Nice to Have

• Bachelor's or Master's degree in computer science, Software Engineering, Information Systems, or a related field.

Qualifications

• Active Secret Clearance required.
• Experience in data architecture and cloud platforms.
• Leadership and team management experience.

Benefits & Perks

• Competitive benefits package including health, dental, vision, 401K, life insurance, short-term and long-term disability plans, vacation time, and holidays.