Principal Data Engineer
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Location: Creve Coeur, Missouri, USA; hybrid or remote depending on location. Working time zone: US/EMEA.
Salary: $157,250β$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.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β