> Markdown version of [/jobs/ext/4635041-data-architect](https://www.wearedevelopers.com/jobs/ext/4635041-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:** Accenture - **Location:** Washington, DC, United States - **Salary:** $126,300 - $243,100 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Systems Engineering, Microsoft Azure, Big Data, Cloud Computing, Data Architecture, Data Governance, Data Integration, Extract Transform Load (ETL), Data Security, Data Warehousing, Database Design, Python (Programming Language), Tensorflow, Service Design, Software Engineering, SQL Databases, Scripting, Google Cloud, Pytorch, Snowflake, Scikit Learn, Data Analytics, Data Management, Databricks - **Published:** November 8, 2026 - **Apply:** https://www.juju.com/job/1_accentureghi3-4714009006 ## About the Role + Experience communicating with technical and non-technical audiences + Experience with cloud-hosted data service design (e.g., AWS, Azure, GCP) + Hands-on experience with ETL processes, data warehousing, and big data technologies + Proficiency in data modeling, database design, and data governance + Experience with data integration, data quality, and data security best practices + Experience with platforms like Databricks, Snowflake, or Palantir + Must be a U.S. Citizen (No Dual Citizenship) **Bonus points if you have: ** + Cloud first solutions experience + Experience with creating platforms and automating processes through writing scripts or software + Software development, systems engineering, infrastructure, security, networking, data & analytics + Proficiency in programming languages such as Python, Java, or Scala, and experience with SQL. + Experience with creating data platforms and automating data processes through scripting or software development + Knowledge of software development, systems engineering, infrastructure, security, networking, data & analytics + Familiarity with machine learning frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-Learn)