Databricks Senior Solutions Architect_ US-Based Contractor at Hiflylabs
Jersey City, NJ
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Jul 16, 2026
Jersey City, NJ
Jul 21, 2026
What this job asks for AI summary
A post-sales technical leadership role focused on helping enterprise customers design and implement large-scale data projects using Apache Spark and Databricks — from architecture through data engineering to model deployment. Day-to-day work spans building production-grade pipelines, performance optimization, and delivering training or conference presentations to drive community adoption. Best suited to an experienced data or software engineer with a strong consulting or customer-facing background.
Senior level · 5+ years · Remote
“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
Roughly 1,250 people nationally plausibly meet what this posting asks for (database architects). range 740–1,850
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 $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 (8)
This role is based at Hiflylabs, a Budapest-headquartered company; the US-based flag is set to false because the primary work location is outside the United States. The caller has declared the role fully remote with a national candidate pool, so no metro is inferred.
SOC classification is a genuine judgment call: the role is primarily a data/big-data architect and engineer (pipeline design, Spark, Databricks, warehouse patterns), which points to 15-1243 Database Architects; however, the software engineering framing and application development context make 15-1252 Software Developers a credible runner-up.
The Databricks Certified Data Engineer Professional certification is listed as a hard requirement under the Requirements section and is treated as a gate, but it is a credential rather than a named technology skill and so is not emitted as a skill item — hiring managers should note this as a screening criterion.
Jenkins is named parenthetically as an example of CI/CD/orchestration tooling ('e.g., Jenkins'); it is listed under the Requirements section, so the CI/CD capability is a hard gate. Jenkins is emitted as the primary skill name with common alternatives populated; the broader tooling categories (unit/integration testing, automation, orchestration, BI tools) are not emitted as separate skills because they name no specific product.
NoSQL, MPP, OLTP, and OLAP are listed as required big-data technology experience but are architectural patterns/categories rather than specific named tools, so they are not emitted as discrete skills.
MLflow is listed under 'Desired experience' (the nice-to-have block covering Data Science/ML Engineering) and is marked as preferred.
Caller marked this a fully-remote role — scored against the national candidate pool.
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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