> Markdown version of [/jobs/ext/1154489-azure-senior-data-architect](https://www.wearedevelopers.com/jobs/ext/1154489-azure-senior-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). --- # Azure Senior Data Architect - **Company:** HCL America Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $234,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Microsoft Azure, Big Data, Continuous Integration, Data Architecture, Data Governance, Data Integration, DevOps, Machine Learning, Azure Machine Learning, Azure Data Factory, Data Strategy, Deployment Automation, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** July 2, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=91534868b81358be ## About the Role 1. Architectural Leadership In Azure Data Factory With ExpertLevel Proficiency In Designing Complex Data Integration Solutions 2. Advanced Expertise In Azure Databricks, Azure Synapse Analytics, And Azure Ml For LargeScale Analytics And Machine Learning Workloads 3. InDepth Knowledge Of Devops Practices For Azure Data Services, Including Ci/Cd, Monitoring, And Automation 4. Solid Understanding Of Data Governance, Security, And Compliance Frameworks Within Azure Environments 5. Excellent Ability To Translate Business Requirements Into Scalable Azure Data Architectures 6. Strong Mentoring And Leadership Skills To Guide Technical Teams In Azure Data Technologies ## Description The Azure Data Architecture Lead is responsible for providing architectural leadership in designing, implementing, and optimizing large-scale data solutions using Azure Data Factory and related Azure services. This role drives enterprise-scale data initiatives, ensuring solutions are robust, scalable, and aligned with industry best practices. The position plays a critical part in shaping data strategy, enforcing governance, and fostering innovation to support organizational and client objectives., 1. Architect End-To-End Data Integration And Transformation Solutions Using Azure Data Factory, Ensuring Scalability, Reliability, And Adherence To Enterprise Standards. 2. Design And Oversee Advanced Analytics Platforms Leveraging Azure Databricks, Azure Synapse Analytics, And Azure Ml To Enable Data-Driven Decision-Making. 3. Define And Implement Devops Practices For Data Pipelines In Azure, Ensuring Automated Deployments, Monitoring, And Operational Excellence. 4. Lead Architectural Reviews And Enforce Governance And Compliance Measures Across Azure Data Solutions, Maintaining Alignment With Industry And Organizational Standards. 5. Collaborate With Business Stakeholders To Gather Requirements And Translate Them Into Innovative, Scalable Azure-Based Data Architectures. 6. Mentor And Develop Technical Teams On Azure Data Technologies, Ensuring Skill Advancement And Risk Mitigation In Solution Delivery. 7. Author Whitepapers, Contribute To Industry Forums, And Drive Intellectual Property Initiatives To Establish Thought Leadership In Azure Data Architecture. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)