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ETL Architect

Job in Windsor, Hartford County, Connecticut, 06006, USA
Listing for: Coforge
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Warehousing, Cloud Computing
Salary/Wage Range or Industry Benchmark: 80 - 85 USD Hourly USD 80.00 85.00 HOUR
Job Description & How to Apply Below

This range is provided by Coforge. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$80.00/hr - $85.00/hr

Direct message the job poster from Coforge

Senior Talent Acquisition Specialist @ Coforge || Digital Engineer & Leadership Hiring || Strategic Hiring || Stakeholder Management ||

Job Title / Role: ETL Architect (Snowflake & AWS)

Experience:

12+

Location:

Windsor CT, (Day 1 On-site)

Shift: General

Mode:
On-Site

We at Coforge are seeking ETL Architect (Snowflake & AWS) with the following skill-set:

Key Responsibilities
  • Design and implement ETL/ELT architecture with Snowflake as the enterprise data warehouse.
  • Integrate data from diverse sources (RDBMS, APIs, SaaS apps, flat files, streaming platforms & cloud services) into Snowflake.
  • Define data integration best practices, including reusability, scalability & cost optimization.
  • Lead and mentor ETL/ELT developers in building robust pipelines.
  • Optimize Snowflake performance (virtual warehouses, clustering & query tuning).
  • Collaborate with data architects, BI developers, and business stakeholders for end-to-end data delivery.
  • Evaluate and implement ETL/ELT tools and automation frameworks suited for multiple source systems.
  • Troubleshoot integration issues and define long-term solutions.
  • Keep up to date with Snowflake features and emerging data integration technologies.
Required

Skills & Qualifications
  • 10+ years in ETL/ELT architecture and development.
  • Strong expertise in Snowflake (warehouses, streams, tasks, snowpipe, data sharing).
  • Proficiency in multiple ETL/ELT tools:
    Informatica, Talend, Matillion, SSIS, AWS Glue, DBT, Fivetran.
  • Strong SQL and performance optimization skills.
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