Padmi

Senior Architect - DBA

MumbaiPosted 1 month ago
Infrastructure And DatabasesSeniorFull Time, Permanent
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Job Title: Senior Cloud Data Architect (GCP AlloyDB Expert) Role Summary We are seeking a visionary and hands-on Senior Cloud Data Architect with 16 to 25 years of experience to design, govern, and scale our next-generation enterprise data platform on GCP. In this strategic role, you will define the overarching data architecture blueprint, spearhead complex database migrations, and lead a high-performing data engineering organization. You will bridge the gap between complex infrastructure, enterprise governance, and business-critical analytics, ensuring our BigQuery and AlloyDB ecosystems are performant, secure, and cost-efficient. Key Responsibilities Enterprise Architecture: Design resilient, scalable, and secure end-to-end data architectures (ETL/ELT/Streaming) utilizing Google Cloud Platform (BigQuery, Dataflow, Cloud Composer, and AlloyDB). Strategic Leadership: Provide technical governance and mentorship to data leads and engineers, enforce rigorous Python/SQL code standards, and align data strategy with business goals. Cost Performance Optimization: Establish frameworks for enterprise-wide BigQuery slot management, compute allocation, and advanced query optimization to drive cost efficiency. Modern Database Migration: Blueprint and execute zero-downtime migration strategies from legacy relational engines to AlloyDB, ensuring operational continuity. Data DevOps Automation: Define the CI/CD and Infrastructure as Code (IaC) standards for global data pipelines using Terraform and enterprise automation tools. Data Governance Security: Architect robust corporate data governance, fine-grained access control, PII masking, and data lineage compliance across all analytical environments. Must-Have Skills Qualifications Experience: 16 to 25 years of progressive experience in Data Architecture, Enterprise Data Engineering, and Cloud Transformations. GCP Expertise: Expert-level mastery of BigQuery architecture, including physical storage design, dynamic slots tuning, partitioning, and clustering. Advanced AlloyDB Mastery: Proven experience migrating legacy databases (Oracle, SQL Server, or Cloud SQL) to AlloyDB using Database Migration Service (DMS) with near-zero downtime. Deep expertise in optimizing AlloyDB Read Pools for high-concurrency, read-heavy enterprise workloads. Advanced knowledge of auto-vacuum tuning, query planning, and transactional optimization in high-throughput environments. Clear structural understanding of AlloyDB?s disaggregated storage engine to leverage instant vertical/horizontal scaling. Data Concepts: Mastery in defining enterprise Data Lakes vs. Data Warehouses, Lakehouses, and Data Mesh patterns. Orchestration Code: Deep experience with Apache Airflow (Cloud Composer) and enterprise-grade Python and SQL development. Infrastructure as Code: Advanced capabilities in writing modular, secure Terraform configurations for complex multi-region data environments. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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