> Markdown version of [/jobs/ext/4671027-data-architect](https://www.wearedevelopers.com/jobs/ext/4671027-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:** Mphasis - **Location:** Alpharetta, GA, United States - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Databases, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), PostgreSQL, Metadata Repositories, Microsoft SQL Server, NoSQL, Oracle (Applications), SQL Databases, Cloud Platform System, Snowflake, Togaf, Data Lakes, Data Lineage, Non-relational Database, Machine Learning Operations, Physical Data Models, Databricks - **Published:** November 11, 2026 - **Apply:** https://www.dice.com/job-detail/d9043ce8-13b4-4a41-bf9c-85cadd52dab2 ## About the Role * Databases & Warehouses: SQL, PostgreSQL, Oracle, SQL Server, Snowflake, Databricks, and NoSQL systems. * Cloud Platforms: Experience with cloud ecosystems like Microsoft Azure or AWS. * Frameworks & Methodologies: TOGAF, DMBOK, ETL/ELT design, and data lineage tracking. * Programming: Proficiency in languages like Python, Java, and SQL ## Description * Data Modeling & Design: Creates conceptual, logical, and physical data models to organize information across relational and non-relational databases, data warehouses, and data lakes. * Blueprint & Infrastructure Planning: Defines the lifecycle of data-covering ingestion, processing, storage, serving, and governance. * Bridging Business and IT: Translates business goals and requirements into scalable technical architectures. * Data Governance & Security: Establishes policies for data quality, compliance, data catalogs, and security standards. * Team Leadership & Oversight: Guides and mentors data engineers, collaborates with data scientists, and evaluates emerging technologies (such as cloud platforms or AI/ML pipelines).