Job Title

Job TitleSenior Data Architect / Lead Data Engineer – Azure & DatabricksJob SummaryWe are seeking an experienced Senior Data Architect / Lead Data Engineer to design, build, and lead cloud-native data platforms on Azure, with a strong focus on Databricks. The role involves architecting end-to-end modern data solutions, leading data strategy initiatives, enabling DataOps/MLOps practices, and collaborating closely with customers and internal teams to drive data modernization at scale.Key ResponsibilitiesDesign and develop modern, cloud-native data architectures to support analytics, BI, and advanced insights.Build and optimize cost-effective data infrastructure using Azure Databricks.Orchestrate data workflows using Databricks Workflows and Azure Data Factory (ADF).Lead data strategy and architecture discussions focused on scalability, performance, and flexibility.Design and implement CI/CD pipelines for Databricks using Azure DevOps.Partner with customers to deliver data modernization and migration solutions.Develop training plans and learning materials to upskill internal associates.Build industry-specific and domain-driven data solutions tailored to customer needs.Design and implement a Smart Operations framework covering DataOps and MLOps best practices.Collaborate with Data Engineering, Data Management, BI, and Analytics teams in complex enterprise environments.Required Skills & Experience10+ years of overall experience in data engineering and analytics, with at least 4+ years delivering cloud-native, end-to-end data solutions (ingestion to consumption).Strong hands-on experience architecting and implementing Modern Data Platforms on Azure.Advanced experience with Databricks, PySpark, and distributed data processing frameworks.Proven expertise in cloud-native architecture, data governance, and security.Extensive experience migrating on-premises data platforms (Hadoop, Spark) to Azure Databricks.Strong understanding of data warehouse concepts, including columnar database architectures.Hands-on experience with ETL/ELT tools, Kafka or streaming platforms, and modern data integration patterns.Solid understanding of Agile/Scrum methodologies and working in iterative delivery models.Ability to collaborate across cross-functional teams in a large-scale IT ecosystem.Preferred / Added AdvantageExperience designing and implementing Data Mesh architectures and Data Products.Exposure to industry-specific data solutions.Knowledge of advanced analytics and ML enablement on cloud data platforms.If you want, I can also:Tighten this for ATS optimizationConvert it into a short LinkedIn job postTailor it for consulting / client-facing rolesAlign it to a specific company or industryJust say the word.