The Subway HR Team · Shelton, CT

Salary
$102,700–$128,400from the description
Posted
Jun 28, 2026
Location
Shelton, CT
Last confirmed open
Jul 20, 2026

What this job asks for AI summary

A senior hands-on data engineering role focused on designing and building enterprise-scale data platform infrastructure on Databricks and/or Snowflake. Day-to-day work centers on constructing Lakehouse architectures using Medallion patterns, real-time and batch pipelines, GenAI/ML enablement frameworks, and reusable platform accelerators. The role also involves mentoring other engineers and shaping technical standards across multiple data domains.

Senior level · 3+ years · Bridgeport-Stamford-Norwalk, CT · Bachelor's required · Full-time

Must have (11)
Databricks or SnowflakePySpark or SQLPythonDelta Lake or Apache IcebergDatabricks DLT, Snowflake Dynamic Tables or Snowpipe StreamingAirflow, Databricks Lakeflow or Snowflake Openflowdata modelingUnity Catalog or Snowflake Horizon CatalogGitCI/CDAWS, Azure or GCP
Nice to have (2)
dbtDatabricks Mosaic AI or Snowflake Cortex

“or” means any one of them counts — you don't need all of them.

Posted 2 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 3 people in the Bridgeport-Stamford-Norwalk, CT area plausibly meet what this posting asks for (database architects). range 1–5

Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.

What won't set you apart
PySpark90%data modeling72%Python55%CI/CD45%Databricks42%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $163,350 (middle half $128,540–$194,980). 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 (7)

The role is genuinely ambiguous between 15-1243 (Database Architects) and 15-1252 (Software Developers). The primary day-to-day work is designing and building enterprise lakehouse platforms (Snowflake/Databricks), which leans toward data/pipeline architecture, but the heavy emphasis on shipping production code, POCs, and frameworks also fits Software Developers. 15-1243 was chosen as the primary code given the explicit architectural authority and platform-design framing.

Experience requirement is stated as '3-5 years' but the scope described — leading enterprise-scale architecture, influencing multiple teams, petabyte-scale operations — is consistent with a Senior-level role despite the relatively low stated minimum. The seniority assessment reflects the role's actual scope rather than the floor of the stated range.

dbt is explicitly called out as 'a plus' in the qualifications section, so it is marked as preferred.

Databricks Mosaic AI / Snowflake Cortex and the semantic layer tools appear under the qualifications list but are framed as 'experience with' rather than hard gates; they are marked as preferred accordingly.

The posting states a Bachelor's degree is 'required' and an advanced degree is 'preferred', so the degree requirement is set to Bachelors.

Shelton, CT falls within the Bridgeport-Stamford-Norwalk, CT CBSA (14860).

Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Medallion architecture, Databricks AI/BI Genie.

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