This role is for one of our clients Industry: Technology, Information and Media Seniority level: Mid-Senior level Min Experience: 8 years Location: mumbai JobType: full-time About The Role We’re seeking a Lead Cloud Data Architect to design and lead the execution of enterprise-grade data platforms in a modern cloud environment. This is a strategic and hands-on role, ideal for a data expert who thrives in building scalable, high-performance ecosystems across Azure cloud services, big data platforms, and enterprise analytics tools. You’ll be instrumental in transforming our data infrastructure by driving architectural decisions, standardizing data governance, and ensuring secure, scalable, and accessible data systems. Your work will directly enable advanced analytics, reporting, and data science across the organization. What You’ll Be Doing Cloud Data Architecture Design modern, scalable data solutions on Microsoft Azure , integrating components such as Azure Data Lake, Azure Synapse, Azure SQL, and Azure Databricks. Build architecture blueprints to support streaming, batch, and real-time data processing. Data Pipelines & Engineering Build and orchestrate robust, fault-tolerant data pipelines using Azure Data Factory (ADF) , Databricks, and custom ETL frameworks. Drive transformation of structured, semi-structured, and unstructured data into optimized formats for downstream use. Big Data & Analytics Integration Utilize Azure Databricks for large-scale data processing, machine learning data prep, and distributed data transformations. Enable seamless data flows from lake to warehouse to visualization. Data Governance & Quality Implement robust data governance protocols including lineage, cataloging, classification, and access management. Ensure security, compliance, and adherence to regulatory data policies (GDPR, HIPAA, etc.). BI & Reporting Enablement Collaborate with analytics and reporting teams to provide highly available, performant, and clean data to tools like Power BI . Standardize KPIs, metrics definitions, and data sources for enterprise-wide reporting consistency. Collaboration & Leadership Engage with product owners, business leaders, and engineering teams to define long-term data strategies. Mentor engineers, review architectures, and set coding and documentation standards. What You Bring 8–10 years of experience in data architecture or engineering , including 5+ years designing solutions on Microsoft Azure . Expertise in Azure services: ADF, Azure Data Lake, Databricks, Synapse, Azure SQL , and Power BI. Proven experience building and optimizing ETL/ELT pipelines , with deep understanding of data transformation frameworks . Proficiency in Python , SQL , or Scala for scripting, data wrangling, and logic workflows. In-depth understanding of data modeling , data warehouse concepts, performance tuning, and storage optimization. Familiarity with DevOps and CI/CD pipelines in the context of data engineering. Strong collaboration, documentation, and communication skills — with the ability to work cross-functionally. Nice to Have Microsoft certifications such as Azure Data Engineer Associate or Solutions Architect . Hands-on experience with Azure Purview , Collibra , or other data governance and catalog tools. Familiarity with Apache Spark , version control systems, containerization (Docker), and orchestration (Kubernetes). Show more Show less