Snowflake Senior Engineer

We are looking for a Senior Snowflake Engineer to design, build, and own production-grade data pipelines and Snowflake architecture, and to be the technical point of accountability for data reliability, cost, and performance across the platform.

Key Responsibilities

• Design and build scalable, production-grade ELT/ETL pipelines feeding Snowflake, from ingestion through transformation to consumption layers.
• Understanding on all key Snowflake services, latest features.
• Define and enforce data quality and testing standards (e.g., dbt tests, schema/contract checks) so downstream teams can trust the data without manual verification.
• Manage infrastructure as code (Terraform) and CI/CD for data pipeline deployments, so changes are reviewed, tested, and rolled out safely.
• Mentor mid-level and junior data engineers on Snowflake, dbt, DCM best practices and code review standards.
• Own incident response and root-cause analysis for pipeline failures and data quality issues, including postmortems.

Qualifications

• 5+ years of hands-on, production-grade experience with Snowflake.
• 5+ years of hands-on, production-grade experience across at least two of the three major cloud platforms (AWS, Azure, GCP) — specifically Azure and GCP.
• Hands-on, production-grade experience with dbt and Terraform/DCM.
• Hands-on experience with at least one cloud-native ETL/ELT tool (e.g., Matillion).
• Advanced SQL and hands-on data modelling experience (dimensional modelling, slowly changing dimensions, or similar).
• Working proficiency in Python for pipeline development and automation.
• Experience with git-based version control and CI/CD pipelines for data engineering workflows.
• Demonstrated experience mentoring other engineers or leading technical design reviews.

Required Skills

• AWS experience, in addition to Azure and GCP.
• Experience in Databricks, BigQuery, Synapse.
• Fivetran experience.
• Experience with streaming/near-real-time data pipelines (e.g., Kafka, Kinesis).
• Familiarity with BI/semantic layer tools (e.g., PBI, Looker, Tableau) and how they consume Snowflake models.
• SnowPro Core or Advanced certification.
• Experience with data governance and compliance frameworks (e.g., GDPR, SOC 2) as they apply to data pipelines.

Preferred Skills

• Engage in high-impact projects leveraging cutting-edge AWS cloud technologies.
• Work in a boutique consulting environment that values innovation, quality, and personalized growth.
• Collaborate with passionate experts across data engineering, AI, and product domains.
• Opportunity to develop your career with exposure to enterprise-scale digital transformation initiatives.

Location: Noida / Remote / Hybrid

Employment Type: Full-time