Databricks Platform & Data Engineer at NTT DATA
Plano, TX
$134,625–$246,812from the description
Jun 28, 2026
Plano, TX
Jul 21, 2026
What this job asks for AI summary
A senior engineering role within a Databricks Center of Excellence, focused on designing and deploying enterprise-scale Lakehouse platforms for large, regulated clients across AWS and Azure. Day-to-day work spans platform architecture, data pipeline development using Spark and Delta Lake, governance implementation via Unity Catalog, and direct client advisory. Suits a seasoned data/platform engineer comfortable in a consulting context with 12+ years of experience, including at least five in enterprise Databricks environments.
Senior level · 12+ years · Dallas-Fort Worth-Arlington, TX · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 3 times — it's one opening, so apply once.
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
Roughly 25 people in the Dallas-Fort Worth-Arlington, TX area plausibly meet what this posting asks for (database architects). range 15–40
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $154,770 (middle half $129,790–$165,470). This posting is about at that midpoint.
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 (8)
The role is posted for four metro locations: Plano, TX (Dallas-Fort Worth CBSA); Chicago, IL; Minneapolis, MN; and Atlanta, GA. The Dallas-Fort Worth CBSA is listed first and used as the primary metro here; the compensation range varies by location ($134,625–$224,375 for Plano/Atlanta; $148,088–$246,812 for Chicago/Minneapolis).
The title carries no explicit seniority level word, so the title states no level. However, the body text describes the hire as 'a senior Databricks Platform & Data Engineer,' and the 12+ years overall / 5+ years Databricks requirements firmly support a Senior classification.
Scala and Python are listed together as the Spark language requirement ('Apache Spark (Scala/Python)'); they are treated as interchangeable alternatives for that single skill rather than two separate hard gates.
Kafka and Structured Streaming appear together under the Preferred Qualifications section ('Real-time streaming (Kafka, Structured Streaming)') and are treated as preferred, with each listed as an alternative of the other.
MLflow/Model Serving and data product/marketplace architectures are mentioned under Preferred Qualifications; MLflow is used as the canonical name for the MLOps/Model Serving preference.
Databricks Genie is listed as a key platform capability in the responsibilities narrative and also referenced in the overview as a modern feature to enable; it is captured as preferred since it does not appear in the Required Qualifications section.
Databricks certifications are listed as preferred, not required, and are not emitted as a skill (no specific named technology).
The role blends platform/data architecture with hands-on data engineering and pipeline delivery, making it genuinely ambiguous between 15-1243 (Database Architects) and 15-1252 (Software Developers). The emphasis on Lakehouse architecture design, governance frameworks, and platform standards tips the primary classification toward 15-1243.
Read the full posting
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