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Principal Engineer (Data Engineering)

157 250 - 185 000$
Формат работы
remote/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Engineer (Data Engineering/Databricks): Designing and implementing scalable enterprise data architectures, pipelines, and platform capabilities on Databricks and Azure with an accent on Lakehouse patterns, performance, reliability, security, and governance. Focus on solving complex data engineering problems, embedding across teams, mentoring engineers, and translating business needs into production-ready technical strategies.

Location: Hybrid or remote depending on location; Nashville, Tennessee, USA; working time zone: US/EMEA

Salary: $157,250–$185,000

Company

Global commercial real estate services firm providing property, facilities and project management, leasing, capital markets, valuation, and related services.

What you will do

  • Design and implement scalable, enterprise-grade data architectures across ingestion, storage, transformation, serving, and governance.
  • Build and optimize high-scale pipelines, performance-critical workloads, and platform capabilities using Databricks and Azure.
  • Write, review, and refactor production code focused on performance, reliability, security, observability, and cost efficiency.
  • Embed across data engineering teams to lead, accelerate, and de-risk critical projects.
  • Mentor engineers through code reviews, pairing, design reviews, coaching, and technical knowledge sharing.
  • Advise stakeholders by translating business needs into technical strategies and explaining technical trade-offs.

Requirements

  • Extensive data engineering experience with a record of delivering production-grade platforms and pipelines at scale.
  • Near-expert hands-on proficiency with Databricks, Spark, Lakeflow, Delta Lake, Lakebase/Postgres, Unity Catalog, and the Azure data ecosystem.
  • Experience designing and implementing end-to-end data architectures for complex enterprise environments.
  • Expertise in Lakehouse, medallion, data mesh, DataOps, metadata-driven, and configuration-driven pipeline patterns.
  • Ability to mentor engineers, lead through influence without direct reports, and establish engineering standards.
  • Ability to work within the US/EMEA time zone.

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 tooling.
  • Knowledge 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 accounts, health savings accounts, retirement savings plans, life insurance, and disability insurance.
  • Paid and unpaid time away from work.
  • Hybrid or remote work arrangements depending on location.

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