> Markdown version of [/jobs/ext/3949046-azure-data-platform-architect](https://www.wearedevelopers.com/jobs/ext/3949046-azure-data-platform-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). --- # Azure Data Platform Architect - **Company:** Tata Consultancy Services Limited - **Location:** Wyoming, MI, United States - **Experience:** Expert - **Salary:** $90,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Adaptable Database Systems, Business Analytics Applications, Microsoft Azure, Cloud Engineering, Databases, Continuous Integration, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Python (Programming Language), Meta-Data Management, Performance Tuning, SQL Databases, Scripting, Azure Data Factory, Data Strategy, Data Lakes, Pyspark, Data Management, Terraform, Data Pipelines, Databricks - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/azure-data-platform-architect-grand-rapids-mi--f4f2bf96-c44c-4edc-8baf-e608751f7d83 ## About the Role Microsoft Windows Azure, Data Modeling, Enterprise Architecture, Microsoft Windows Azure, Data Warehousing, Data Lake, Database Extract Transform and Load (ETL), Python Programming/Scripting Language, SQL (Structured Query Language), Data Quality, Required Skills: Azure | Data architect | Data Modeling Experience: 10 - 12 Years ## Description * Enterprise Data Architecture and Data Modeling * Azure Data Platform (ADF, Databricks, ADLS, Synapse) * Data Warehousing, Data Lake, and ETL/ELT Architecture * Python, SQL, PySpark * Data Governance, Data Quality, and Metadata Management * Cloud Architecture and Security Best Practices * Azure DevOps and CI/CD * Solution Design and Stakeholder Management * Terraform and IaC (Infrastructure as Code) Roles & Responsibilities * Define enterprise data architecture, standards, and best practices. * Design scalable data models, data lakes, data warehouses, and data pipelines. * Lead data strategy, governance, security, and quality initiatives. * Provide architecture guidance for Azure-based data platforms and analytics solutions. * Collaborate with business stakeholders, data engineers, analysts, and solution architects. * Drive performance optimization, scalability, and data modernization programs.