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Strong employer brand and metro location but senior, specialized data-architecture skillset limits applicant density.
Core data platform and cloud skills are transferable, but specific DW/ETL and Azure expertise raise domain sensitivity.
Explicit 10+ years requirement plus many mandatory DW, ETL, Azure and tooling skills makes filters stringent.
Own end-to-end technical solution architecture and day-to-day delivery management for data projects on Azure cloud platform.
Design and govern data warehouse, data marts, ETL pipelines, and data ingestion/transformation processes ensuring alignment with client business requirements.
Lead small project teams (2-3 members), coach developers, collaborate with stakeholders and global teams, and oversee code management and quality assurance activities.
10+ years of work experience in technical solution architecture or related roles.
Strong expertise with databases (SQL Server, Oracle, MySQL, Azure SQL), data warehouses (Synapse Analytics, SnowFlake), and ETL tools (Azure Data Factory, Databricks).
Experience in cloud platform Azure with relevant professional certification, especially Azure Data Engineer.
Willingness to work overlapping hours with US teams (typically 6:00 PM to 11:00 PM IST).
Experienced in designing and delivering medium complexity cloud data solutions focusing on Azure technology stack.
Able to manage multiple small projects independently while collaborating with cross-functional and global teams.
Skilled in translating complex client requirements into technical design and leading development teams through agile or waterfall methodologies.