Principal Data Engineer — Lakehouse Architect (Hybrid)

Blattner

Avon (MN)

On-site

USD 134,000 - 194,000

Full time

8 days ago
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Benefits offered by this job

Competitive pay
HDHP insurance
401(k) match
HSA/FSA
Dental and Vision
Tuition reimbursement
Work/Life balance
Gym on site

Job summary

Blattner Company is building a Modern Data Platform on Microsoft Fabric to support data needs across our Wind, Solar, Battery, Data Center, and Gas units. The Principal Data Engineer will own the platform architecture, set engineering standards, and mentor the data development team.

Responsibilities include designing and owning the end-to-end data lakehouse, leading technical guidance, building pipelines across 30+ systems, and evaluating new technologies for leadership approval.

Qualifications

  • Bachelor's degree in Business Analytics, Data Science, Computer Science, Mathematics, Engineering, or a related field.
  • 10+ years of hands-on data engineering experience with progressive technical scope.
  • Deep expertise in Microsoft Fabric - Lakehouse, Pipelines, Dataflows Gen2, Eventstream, KQL, Notebooks, Semantic Models, Purview; strong command of Azure data stack.

Responsibilities

  • Designs, builds, and owns the end-to-end architecture of Blattner's Microsoft Fabric Data Lakehouse (Bronze/Silver/Gold).
  • Mentors the data development team via code reviews, guidance, and pair programming.
  • Builds data pipelines across 30+ source systems (JDE EnterpriseOne, Workday, HCSS, Procore, Salesforce, ServiceNow).
  • Evaluates emerging technologies and recommends adoptions to leadership.

Skills

SQL
Python
PySpark
Databricks
Spark
Azure Data Factory
Azure SQL
Delta Lake
KQL
Notebooks

Education

Bachelor's degree in a related field

Tools

Microsoft Fabric
Microsoft Purview
Databricks
Unity Catalog
Azure Data Factory
Azure SQL

Job description

Blattner Company is building a Modern Data Platform on Microsoft Fabric to support data needs across our Wind, Solar, Battery, Data Center, and Gas units. The Principal Data Engineer will own the platform architecture, set engineering standards, and mentor the data development team.

Responsibilities include designing and owning the end-to-end data lakehouse, leading technical guidance, building pipelines across 30+ systems, and evaluating new technologies for leadership approval.

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