OPEN ROLE — VIA SYMPHONI HR

Lead Snowflake Developer.

BengaluruHybrid8–10 yearsPosted 2026-09-11

This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.

About the organisation.

Our client is a prominent global player in the computer software industry, known for delivering innovative data and technology solutions. They foster a culture of excellence and continuous learning, supporting large-scale digital transformation initiatives for a diverse international clientele.

About the role.

We are seeking a Lead Snowflake Developer to spearhead the growth and strategy of a high-performing Data & AI Centre of Excellence. This role involves defining architectural standards, driving delivery governance, and providing expert consulting to clients on modern cloud data platforms.

What you will do.

  • Build and scale Snowflake capabilities including architecture, engineering, governance, and FinOps.
  • Define reference architectures, reusable assets, and technical accelerators for enterprise-scale programs.
  • Lead end-to-end solution architecture for data warehousing, Lakehouse, and modern data stack implementations.
  • Establish and enforce standards for delivery quality, security, and performance optimization.
  • Partner with clients to define data strategies, roadmaps, and transformation journeys.
  • Mentor architects and engineers while fostering internal communities of practice.
  • Drive account growth through innovation-led proposals and executive-level consulting.
  • Oversee delivery KPIs, cost optimization, and the adoption of CI/CD and DataOps practices.

What you bring.

  • 8–10 years of overall experience in data engineering, analytics, or data platform roles.
  • Minimum 5 years of hands-on experience in Snowflake with strong architecture and delivery expertise.
  • Deep expertise in Snowflake features including Snowpipe, Streams & Tasks, Dynamic Tables, and Secure Sharing.
  • Proven experience in data modeling techniques such as Dimensional, Data Vault, or Lakehouse architectures.
  • Strong proficiency in ELT/ETL pipelines and orchestration tools like ADF, Airflow, or dbt.
  • Hands-on experience in client-facing consulting roles and complex solution design.
  • Solid understanding of data governance, security, RBAC, and performance tuning.
  • Experience working within major cloud ecosystems such as Azure, AWS, or GCP.
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