> Markdown version of [/jobs/ext/4721017-data-architect](https://www.wearedevelopers.com/jobs/ext/4721017-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** Hexaware Technologies - **Location:** Alpharetta, GA, United States (Remote available) - **Experience:** Expert - **Contract:** Contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Microsoft Azure, Cyber Security, Data as a Services, Data Architecture, Data Cleansing, Data Governance, Data Integration, Data Security, Graph Database, Information Management, Metadata, Meta-Data Management, Metadata Repositories, NoSQL, Role-Based Access Control, Software Vulnerability Management, Data Ingestion, Information Technology, Data Management, Physical Data Models, Data Pipelines - **Published:** November 14, 2026 - **Apply:** https://www.dice.com/job-detail/527cda9d-a721-4216-b71a-d44bc8dd02ef ## About the Role * Bachelor s degree in computer science, Information Management, Data Management, or a related field * 10+ years of total experience in Data Architecture, Data Management, Governance, or Analytics * 5+ years specifically leading enterprise data governance, metadata, data quality, or operating model initiatives * Strong hands-on experience in data modeling, schema design, APIs, data integration, and governance frameworks * Expertise in relational, NoSQL, and graph databases * Experience working with Security, Risk, Compliance, Privacy, and Technology teams Preferred Skills: * Microsoft Azure Data Services and Microsoft Purview. * Data Catalog, Metadata Management, and Data Quality tools. * Experience supporting AI, Analytics, Cybersecurity, Risk, or Vulnerability Management programs. * Background in large-scale, regulated enterprise environments. ## Description * Define and implement enterprise data governance frameworks, standards, and operating models. * Design conceptual, logical, and physical data models across relational, NoSQL, and graph databases. * Develop taxonomy, metadata, data quality, lineage, classification, and information architecture standards. * Architect secure data access models using RBAC, ABAC, and least-privilege principles. * Lead integration of data platforms, APIs, data contracts, ingestion pipelines, and schema management. * Establish data quality controls, governance processes, and ownership/stewardship models. * Collaborate with Security, Risk, Privacy, Analytics, AI, and Engineering teams to deliver scalable data solutions. * Create implementation roadmaps and provide knowledge transfer to internal teams.