AWS Snowflake at Virtusa
Dana, IN
—
Jun 28, 2026
Dana, IN
Jul 20, 2026
What this job asks for AI summary
A senior-level data engineering role focused on building and maintaining an enterprise data platform built on Snowflake and AWS. Day-to-day work covers designing metadata-driven ETL/ELT pipelines with dbt and Python, integrating data from APIs, databases, and SaaS sources via AWS services, and tuning Snowflake performance and compute resources. The role also spans orchestration, CI/CD, data governance, and collaboration with data scientists and business stakeholders.
Senior level · National · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $139,500 (middle half $109,370–$169,290).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The primary work location is Chennai, India (IN-TN-Chennai), so US compensation benchmarks do not apply and the role is outside the United States.
No CBSA code is applicable; the posting is for an India-based position.
The orchestration requirement (Airflow, Dagster, or Prefect) is framed as 'tools such as', indicating any one of these is acceptable — captured as alternatives on a single skill. Because it appears in the responsibilities section rather than a hard-requirements block, it is marked preferred.
Kinesis/MSK is listed as an example ingestion service alongside S3 and Lambda; it appears in the responsibilities narrative rather than the explicit qualifications block, so it is marked preferred.
CI/CD is listed as a responsibility ('drive engineering excellence by implementing CI/CD workflows') rather than a named tool in the qualifications block; it is marked preferred accordingly.
The role is classified as a data/pipeline architect (15-1243) given the strong emphasis on Snowflake architecture, data modeling, and ETL/ELT pipeline design; 15-1252 is a plausible alternative given the Python scripting and software engineering practices described.
This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.
Read the full posting
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