Is Data Platform Engineer actually your fit?

A 15-minute focused check — only the assessments that actually predict success in this role. No fluff, no full battery.

Role you're checking

Data Platform Engineer

Technology

Data Platform Engineers build and operate the shared infrastructure that every data-producing and data-consuming team in the company depends on — Spark and Trino/Presto cluster management, Airflow/Dagster operator frameworks, Snowflake and Databricks tenancy governance, schema registries, data catalog and lineage tooling (DataHub, OpenMetadata, Atlan), and the SLOs that underpin all downstream analytics and ML work. The distinction from a Data Engineer is operational ownership: a Data Platform Engineer does not primarily author business pipelines but instead owns the platform those pipelines run on — cluster sizing, Spark executor config, Airflow scheduler tuning, warehouse credit budgets, access-control frameworks, and cost-attribution dashboards. In India the role has consolidated at petabyte-scale operators — Flipkart, Walmart Global Tech, Uber India, Razorpay, CRED, PhonePe, Swiggy, Zomato — and at the GCCs of global hyperscalers and banks where the Indian data platform team often owns a globally shared service.

What you'll do

1
Career Interests
7 min
Tells us if the day-to-day activities of this role energize you.
2
Personality Profile
8 min
Reveals whether the working style this role demands fits how you naturally show up.

What you'll get — free

A clear fit verdict for Data Platform Engineer — strong, good, worth exploring, or stretch.
The 2-3 reasons it fits (or doesn't), based on what this role actually demands.
An honest signal on whether to keep exploring this path or look elsewhere.

Start fit check (15 min)Back to Data Platform Engineer

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Is Data Platform Engineer actually your fit?

Data Platform Engineer

Career Interests

Personality Profile