Data Engineer Principal_3003 at SAP

Seniority in posting: Management

Compensation

$110,000 – $150,000/yr

Setup: Hybrid
Location: Minneapolis, Minnesota
Type: Full-time
Level: lead/mgmt
Posted: Aug 17, 2026

Summary from listing

Allianz Technology is hiring a Principal Data Engineer to re-engineer an existing enterprise data platform built on Azure Synapse Analytics and migrate validated workloads to Databricks. The role involves auditing and validating complex data architectures, reverse-engineering pipelines and governance controls, identifying technical debt, implementing modern lakehouse patterns, supporting parallel-run migrations, and mentoring engineers. It requires 7+ years of hands-on data engineering experience, strong Azure Synapse, Databricks, Spark, Python, SQL, data governance, and DevOps expertise, and offers a hybrid work model with an annualized base pay range of $110,000–$150,000.

Required Skills

Azure Synapse Analytics
Azure Databricks
Apache Spark
Python
SQL
Delta Lake
Terraform
Data governance
ETL/ELT

Additional Information

Required Previous Experiences: 7+ years of hands-on data engineering experience, including platform migration or re-engineering
Experience working on existing, complex enterprise data platforms
Experience migrating workloads from legacy data warehouse or Synapse environments to a Databricks Lakehouse
Experience with large-scale ETL/ELT and curated data models
Experience integrating complex data sources including Oracle, SQL Server, Azure SQL, file systems, Salesforce, and APIs
Experience with CI/CD pipelines for data engineering
Experience with infrastructure as code using Terraform or ARM
Experience with Docker containerization
Experience with automated testing frameworks for data pipelines
Preferred Qualifications: Experience with Unity Catalog for data governance and lineage
Familiarity with Azure Purview for data cataloguing and governance
Exposure to real-time and streaming pipelines
Experience with GenAI or ML platform integration
Familiarity with monitoring and observability tools
Exposure to BI tools
Experience in financial services