Immediate Hiring Data Architect (Azure ,GCP or AWS)

Position: Data Architect (Azure ,GCP or AWS) Exp: 10 - 18 Yrs Roles and Responsibilities Core Data Architecture Relevance: Minimum 3 to 5 years in end-to-end data architecture roles including data platform design, modernization, and governance. 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. SI-Relevant Skills: Candidates must have demonstrated experience in technical pre-sales, solutioning, proposal support, and architecture documentation not just project delivery. 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. Consulting & Communication: Should have strong 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 Write scripts for stored procedures, database snapshots backups and data archiving. Experience with any of these two cloud-based technologies: o PowerBI/Tableau, Azure Data Factory, Azure Synapse, Azure Data Lake o AWS RedShift, Glue, Athena, AWS Quicksight , Google Cloud Platform. Interested aspirants can share your updated CV to dikshith.nalapatla@motivitylabs.com for quick response. Total Experience: Relevant Data Architect Experience: Any Two cloud combination experience(Azure + GCP or AWS) Mention: Current Role / Skillset: Current CTC: Payroll Company(Name): Client Company(Name): Expected CTC: Official Notice Period: Serving Notice (Yes / No): Last Working Day (in current organization): Location of the Offer in hand: 5 Days Work from Office Position: Data Architect (Azure ,GCP or AWS) Exp: 10 - 18 Yrs Roles and Responsibilities Core Data Architecture Relevance: Minimum 3 to 5 years in end-to-end data architecture roles including data platform design, modernization, and governance. 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. SI-Relevant Skills: Candidates must have demonstrated experience in technical pre-sales, solutioning, proposal support, and architecture documentation not just project delivery. 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. Consulting & Communication: Should have strong 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 Write scripts for stored procedures, database snapshots backups and data archiving. Experience with any of these two cloud-based technologies: o PowerBI/Tableau, Azure Data Factory, Azure Synapse, Azure Data Lake o AWS RedShift, Glue, Athena, AWS Quicksight , Google Cloud Platform. Interested aspira