AWS Data Architect at Virtusa
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Jul 1, 2026
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Jul 20, 2026
What this job asks for AI summary
A senior data architecture role focused on designing and building cloud-based data platforms on AWS, including data lakes, lakehouses, and SQL data warehouses. The work involves migrating data platforms to AWS, developing data pipelines, data modeling, and creating analytics roadmaps, while also mentoring others and advising stakeholders on technical options and trade-offs. Suits a seasoned professional with deep hands-on experience across AWS data services and big data technologies.
Senior level · 10+ years · National · Bachelor's required · 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 $142,568 (middle half $111,775–$173,013).
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 (9)
This role is located in Chennai, India (Tamil Nadu), so US compensation benchmarks do not apply. The US-based flag is set to false.
The job title is 'AWS Data Architect' but the internal Employee Status is listed as 'Director' — this appears to be an internal grade/band label rather than a people-management title; the JD describes a hands-on technical architect IC role with no mention of direct reports, hiring, or budget ownership, so it is classified as a technical (non-management) occupation.
The 10+ years requirement is for hands-on data platform development broadly; the 6+ years is specifically for AWS cloud platforms — both are captured accordingly.
Degree requirement: a Bachelor's in a computer-related field is stated as required; a Master's is explicitly preferred, so the minimum hard gate is Bachelor's.
Python, PySpark, and Scala are listed together as a single MUST-HAVE requirement ('Python/PySpark/Scala in Big Data environments'); PySpark and Scala are captured as alternatives to Python.
Hive, Impala, and Presto are listed together as a single SQL-in-Big-Data requirement; Impala and Presto are captured as alternatives to Hive.
dbt, Airflow, and data test automation are introduced with 'Familiarity with' — treated as preferred rather than required.
Parquet, Avro, and Iceberg appear as file format context within the AWS services description rather than as standalone gated requirements; treated as preferred.
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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