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Snowflake Data Engineer

Advance Career Solutions

6 - 11 years

India

Posted:1 week ago

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Job Description

Job Description Snowflake & Databricks Platform Administrator

Role:

Job Summary

Snowflake Administrator / Data Platform Engineer

The candidate will be responsible for building and managing enterprise-scale Snowflake data platforms, implementing security and governance standards, optimizing performance and costs, and supporting integrations with Databricks for ETL/ELT and ML workloads.

Key Responsibilities

Snowflake Platform Administration

  • Build and administer

    Snowflake databases, schemas, virtual warehouses, roles, integrations, and account-level configurations

    .
  • Manage Snowflake environments across development, testing, and production.
  • Configure and maintain

    RBAC, security models, masking policies, row-level access controls, and data-sharing standards

    .
  • Support and administer

    Snowflake Cortex

    capabilities and related platform configurations.

Performance & Optimization

  • Perform

    query performance tuning and optimization

    .
  • Monitor and optimize virtual warehouse utilization and workloads.
  • Troubleshoot issues related to

    clustering, micro-partitioning, query execution, and Snowflake internals

    .
  • Analyze workload patterns and implement performance improvements.

Automation & DevOps

  • Automate provisioning, monitoring, deployment, and incident-handling processes.
  • Use

    SQL, Snowflake APIs, Python/Shell scripting, Terraform, and CI/CD pipelines

    for platform automation.
  • Implement infrastructure-as-code and automated deployment practices.
  • Develop operational scripts and workflows for recurring administrative activities.

Databricks–Snowflake Integration

  • Support and optimize

    Databricks and Snowflake integrations

    for ETL/ELT and machine learning workloads.
  • Ensure interoperability between Databricks and Snowflake platforms.
  • Work with

    external tables, Iceberg format, Delta Lake, and hybrid storage strategies

    .
  • Support Databricks clusters, notebooks, and data pipelines consuming or writing Snowflake data.

Cost & FinOps

  • Monitor and optimize

    Snowflake credit consumption, storage costs, and warehouse efficiency

    .
  • Identify opportunities for workload and resource optimization.
  • Support

    FinOps dashboards and cost-optimization initiatives

    .
  • Establish best practices for efficient Snowflake resource utilization.

Security, Governance & Compliance

  • Implement enterprise data security and governance standards.
  • Ensure compliance with applicable

    data privacy, security, and governance frameworks

    .
  • Manage access reviews, security controls, auditing, and data-sharing governance.
  • Support platform governance and compliance assessments.

Monitoring & Production Support

  • Monitor platform health, workloads, storage, warehouses, and integrations.
  • Handle incidents, troubleshoot production issues, and perform root-cause analysis.
  • Support upgrades, configuration changes, maintenance activities, and environment management.
  • Work closely with data engineering, ML, security, and application teams.

Experience & Technical Skills

  • 6–15 years

    of overall experience in Data Engineering, Database Administration, or Data Platform Engineering.
  • Strong enterprise experience in

    Snowflake Administration

    ; the detailed requirement calls for

    4+ years of hands-on Snowflake administration

    .
  • Strong knowledge of

    Snowflake architecture and internals

    .
  • Hands-on experience with:
    • Snowflake Warehouses
    • RBAC & Security
    • Query Optimization
    • Clustering
    • Micro-partitioning
    • Data Sharing
    • External Tables
    • Iceberg
    • Snowflake Cortex
  • Good experience with

    Databricks, clusters, Delta Lake, and notebook-based pipelines

    .
  • Proficiency in

    SQL, Python, and Shell scripting

    .
  • Experience with

    Terraform and CI/CD

    automation.
  • Experience with monitoring, incident management, troubleshooting, and platform governance.
  • Understanding of data governance and security compliance frameworks.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.
  • Ability to work effectively in a

    fast-paced Agile envir

Skills Required

Snowflake Databricks Engineer Data Warehousing Data Warehouse

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Job Type

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