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3 дня назад

Principal Data Engineer

157Β 250 - 185Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ USA)/hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Principal Data Engineer (Databricks/Azure): Designing and implementing enterprise-scale data architectures, high-scale pipelines, and platform capabilities across Databricks and the Azure ecosystem with an accent on Lakehouse patterns, performance, reliability, security, and governance. Focus on solving complex data engineering challenges, embedding across teams to de-risk critical projects, mentoring engineers, and establishing reusable engineering standards.

Location: Creve Coeur, Missouri, USA; hybrid or remote depending on location. Working time zone: US/EMEA.

Salary: $157,250–$185,000 per year.

Company

Global commercial real estate services firm supporting property owners and occupiers through property, facilities and project management, leasing, capital markets, valuation, and related services.

What you will do

  • Design and implement scalable, enterprise-grade data architectures covering ingestion, storage, transformation, serving, and governance.
  • Build high-scale pipelines, performance-critical workloads, and platform capabilities on Databricks and Azure.
  • Write, review, and refactor production code focused on performance, reliability, security, observability, and cost efficiency.
  • Embed with data engineering teams to lead, accelerate, and de-risk critical projects.
  • Define engineering standards, architectural principles, reusable patterns, and reference implementations.
  • Advise stakeholders on complex data problems and translate business needs into technical strategies.

Requirements

  • Extensive data engineering experience delivering production-grade platforms and pipelines at scale.
  • Near-expert hands-on proficiency with Databricks, Spark, Lakeflow, Delta Lake, Unity Catalog, and Azure data services.
  • Experience designing and implementing end-to-end data architectures for complex enterprise environments.
  • Knowledge of Lakehouse, medallion, data mesh, DataOps, metadata-driven, and configuration-driven pipeline patterns.
  • Ability to mentor engineers, lead through influence, and raise team-wide technical standards.
  • Ability to work within the US/EMEA time zone and the stated USA location arrangement.

Nice to have

  • Experience embedding across multiple teams, geographies, and time zones.
  • Familiarity with Azure DevOps, Databricks Automation Bundles, GitHub Actions, or equivalent CI/CD and infrastructure-as-code tools.
  • Understanding of enterprise data governance, metadata management, and cataloguing.

Culture & Benefits

  • Inclusive culture focused on diversity, equity, and inclusion.
  • Health, vision, and dental insurance programs.
  • Flexible spending and health savings accounts.
  • Retirement savings, life, and disability insurance programs.
  • Paid and unpaid time away from work.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’