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Position: Data Architect (Azure ,GCP or AWS) Exp: 10 - 18 Yrs Roles and Responsibilities 1. Core Data Architecture Relevance: Minimum 3 to 5 years in end-to-end data architecture roles including data platform design, modernization, and governance. 2. Cloud Breadth: Proven hands-on experience with at least two cloud ecosystems (Azure + GCP or AWS) preferably with exposure to Snowflake, Databricks, Synapse, Redshift, or BigQuery. 3. SI-Relevant Skills: Candidates must have demonstrated experience in technical pre-sales, solutioning, proposal support, and architecture documentation not just project delivery. 4. Modernization Exposure: Look for people who have led data lakehouse modernization, metadata-driven ingestion frameworks, or multi-domain data mesh initiatives, not only migration or reporting work. 5. Consulting & Communication: Should have solid presentation, client engagement,and consulting background capable of supporting architecture reviews and GTM discussions. - 10+ years of experience, including previous experience leading Data related projects in the field of Reporting and Analytics. - Design, build & maintain scalable data lake and data warehouse in cloud (GCP). - Expertise in gathering business requirements, analysing business needs, defining the BI/DW architecture to support and help deliver technical solutions to complex business and technical requirements - Creating solution prototype and participating in technology selection. Perform POC and technical presentations - Architect, develop and test scalable data warehouses and data pipelines architecture in Cloud Technologies (GCP) - Experience in SQL and No SQL DBMS like MS SQL Server, MySQL, PostgreSQL, DynamoDB, Cassandra, MongoDB. - Design and develop scalable ETL processes, including error handling. - Expert in Query and program languages MS SQL Server, T-SQL, PostgreSQL, MY SQL, Python, R. - Preparing data structures for advanced analytics and self-service reporting using MS SQL, SSIS, SSRS - .