Snowflake Lead Developer

Cognizant

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Buffalo, NY
Salary
$100,000–$135,000 / yr
Posted
11 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $164k
This role $118k
$86k $228k
below market most similar roles pay here above market

This role pays less than 88% of similar roles. Most pay $142,375–$185,500 — the blue band above. At the midpoint, this role pays about $118k versus about $164k for comparable roles.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 408 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 266 roles with salary data.

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At a glance

TL;DR · Snowflake Lead Developer

The Snowflake Lead Developer will join the data engineering team to design, build, and optimize scalable data pipelines and cloud-based solutions. This role involves developing ETL/ELT processes to handle large volumes of structured and semi-structured data from sources like Oracle, SQL Server, APIs, and cloud object storage. Key responsibilities include building Snowflake objects such as streams, tasks, and stored procedures, while writing performance-optimized SQL queries. The candidate must utilize Python, Pandas, and Git to automate workflows and manage CI/CD pipelines. Core technical tasks involve performance tuning, implementing data-quality controls, and managing Snowflake security via RBAC. The position focuses on solving complex data transformation problems, ensuring production stability through robust logging and monitoring, and mentoring junior engineers on modern data engineering best practices.

What you'll do

  • Design, develop, and maintain scalable ETL/ELT data pipelines using Python, SQL, and Snowflake.
  • Build ingestion and transformation processes for data from Oracle, SQL Server, APIs, and cloud storage.
  • Develop and optimize Snowflake objects including databases, schemas, tables, views, streams, and stored procedures.
  • Perform Snowflake performance tuning through query analysis, warehouse sizing, and clustering strategy.
  • Implement data-quality controls including source-to-target validation, reconciliation, and schema validation.
  • Design logging, error handling, monitoring, and alerting mechanisms for production pipelines.
  • Troubleshoot data discrepancies, failed pipelines, and production performance bottlenecks.
  • Build and maintain CI/CD pipelines using Git-based development and deployment practices.

What we're looking for

  • 7+ years of experience in data engineering, ETL/ELT, data warehousing, or related development.
  • Strong hands-on development experience with Snowflake.
  • Advanced proficiency in Python for data processing, automation, APIs, and pipeline development.
  • Advanced SQL skills including joins, CTEs, window functions, stored procedures, and query optimization.
  • Experience implementing data-quality, reconciliation, monitoring, and exception-handling frameworks.
  • Experience building and maintaining CI/CD pipelines using Git-based development and deployment practices (preferred).
  • Experience with data sources such as Oracle, SQL Server, APIs, flat files, and cloud object storage.
  • Experience with structured and semi-structured formats including CSV, JSON, Parquet, and XML.

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