Padmi

DevOps (AWS) Technical Lead

IndiaPosted 1 month ago
Software engineeringSeniorFull Time; Regular
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Owns the technical direction, quality, and delivery enablement of the data platform within the team. Ensures scalable architecture, reliable releases, and strong engineering practices while enabling the team to deliver efficiently within defined engineering and release standards. Owns end-to-end technical design across Snowflake, dbt, ADF, and Azure components Ensures alignment with enterprise architecture and data governance standards Defines and enforces coding standards and best practices Drives performance optimization and cost efficiency Owns and improves CI/CD pipelines and deployment processes Establishes release criteria based on Definition of Done, testing, and required approvals Ensures all changes meet release criteria before deployment to production Oversees and coordinates production releases, including validation of readiness and risk assessment Has authority to block releases that do not meet defined quality and governance standards Ensures pipelines enforce quality gates (tests, validations, approvals where required) Quality & Definition of Done Ensures adherence to Definition of Done (including testing and documentation) Planning & Delivery Support Contributes to sprint planning with technical estimates, risks, and dependencies Ensures monitoring, alerting, and data quality validation mechanisms are in place across pipelines and in production Collaborates closely with Product Owner and Scrum Master to align technical delivery with business priorities; supports team continuity and helps facilitate meetings when the Scrum Master is absent Proactively works with upstream data source teams and other squads to resolve cross-team dependencies, data issues, and production bugs Drives technical alignment across teams/squads where shared data models, pipelines, or integrations are involved 7+ experience in Data Engineering and development of DWH solutions Hands-on experience with Snowflake, dbt, Azure Data Factory Experience with Azure Cloud Solutions, Azure DevOps Practical experience and understanding of CI/CD processes Experience of technical leadership in Agile SDLC Experience with AWS and/or GCP cloud solutions Languages English: .

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