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Snowflake Tech Lead

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Location:
India , Bangalore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

2505400.00 INR / Year
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Job Responsibility:

  • Lead the design and implementation of scalable, secure, and high-performance Snowflake architectures
  • Drive the implementation of medallion architecture (Bronze, Silver, Gold layers) and enterprise data modeling standards
  • Design and implement transformation frameworks using dbt (data build tool) for modular, testable, and version-controlled data models
  • Design and standardize automated onboarding and environment provisioning frameworks for rapid, repeatable deployments
  • Provide technical leadership to data engineering teams building ELT/ETL pipelines and data transformation workflows
  • Design, implement, and govern CI/CD pipelines for Snowflake objects, data pipelines, and IaC deployments
  • Establish best practices for performance tuning, cost optimization, clustering strategies, workload management, and resource governance
  • Conduct code reviews, and enforce development standards across teams
  • Mentor engineers and act as the primary technical escalation point for Snowflake-related initiatives
  • Collaborate with cross-functional stakeholders including Data Architects, DevOps, Cloud, and Security teams
  • Define and drive enterprise data strategy and operating model, including data domain ownership, data product thinking, SLA/SLO definitions, platform roadmap planning, and alignment with business KPIs
  • Establish enterprise data quality, governance, and metadata management frameworks, including automated data validation, lineage tracking, catalog integration, schema evolution controls, and regulatory compliance (e.g., PII governance)
  • Lead modernization and transformation initiatives, including legacy EDW decommissioning, large-scale data migrations, streaming-first architectures, and adoption of event-driven and lakehouse patterns across the organization
  • Lead Snowflake platform performance, scalability, and cost optimization initiatives, including advanced query tuning (Query Profile analysis, micro-partition pruning, clustering key strategy), multi-cluster warehouse optimization, and enterprise cost governance using Resource Monitors and chargeback frameworks
  • Design and govern secure, enterprise-grade Snowflake environments, including cross-account and cross-region data sharing (Secure Shares, Reader Accounts), robust RBAC models with least-privilege principles, dynamic data masking, row access policies, and disaster recovery/failover strategies
  • Drive implementation of scalable ingestion, orchestration, and observability frameworks leveraging Streams & Tasks for CDC, Snowpipe/Snowpipe Streaming for near real-time data pipelines, and comprehensive monitoring using ACCOUNT_USAGE, INFORMATION_SCHEMA, and custom telemetry dashboards

Requirements:

  • Snowflake extensive hands-on implementation experience
  • 8+ years of experience in data engineering and enterprise data warehousing
  • Proven experience leading automated, scalable onboarding and provisioning frameworks
  • Deep experience implementing CI/CD pipelines using Git, Jenkins, GitLab, Azure DevOps, or similar tools
  • Advanced SQL expertise and strong programming skills in Python or similar scripting languages
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP)
  • Demonstrated experience leading technical teams and driving architectural decisions

Nice to have:

  • Snowflake certification
  • Familiarity with DevOps and DataOps best practices
  • Experience with enterprise-scale migrations to Snowflake
  • Exposure to multi-account Snowflake strategy and cross-region data sharing
  • Strong stakeholder communication and solution design documentation skills

Additional Information:

Job Posted:
March 25, 2026

Employment Type:
Fulltime
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