Databricks Lakehouse Architect - Data Pipeline Leader

Bloomberg

Virginia (MN)

On-site

USD 120,000 - 160,000

Full time

5 days ago
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Job summary

Bloomberg is seeking a data engineer who thrives in a collaborative environment to build scalable data systems on a modern cloud platform. You will shape data modeling, governance, and consumption, leading Databricks-based Lakehouse modernization and migrations.

The role drives production-grade datasets used for analytics, experimentation, and decision-making. You will translate product and user behavior into reliable datasets, balancing technical implementation with strategic architecture and

Qualifications

  • Strong experience building and operating data pipelines using SQL and Python in a modern cloud environment.
  • Deep expertise in SQL with complex transformations, data modeling, and performance tuning.

Responsibilities

  • Partner with stakeholders to translate KPIs and data requirements into scalable datasets.
  • Own end-to-end data pipelines from ingestion to serving.
  • Define and evolve the Product Analytics Lakehouse architecture for scalability and governance.
  • Build and maintain production-grade datasets (Gold layer) for analytics and AI use cases.
  • Define reusable data engineering patterns, standards, and guardrails.
  • Own data quality and reliability for production datasets, including monitoring and SLAs.
  • Lead modernization efforts of workloads to Databricks and migrate legacy workloads.

Skills

SQL
Python
Databricks
Spark/PySpark
Data modeling
Data pipelines
Cloud environments
Lakehouse architecture

Job description

Bloomberg is seeking a data engineer who thrives in a collaborative environment to build scalable data systems on a modern cloud platform. You will shape data modeling, governance, and consumption, leading Databricks-based Lakehouse modernization and migrations.

The role drives production-grade datasets used for analytics, experimentation, and decision-making. You will translate product and user behavior into reliable datasets, balancing technical implementation with strategic architecture and

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