Data Engineer Principal_3003 (Minneapolis, MN, US, 55416)

Allianz
Minneapolis
Workplace: HybridFull timeUSD 110,000 - 150,000 annuallyFunction: Administration & Executive AssistanceExperience: 7+ yearsSkills: ["Communication","Analytical mindset","Mentoring","Collaboration","Technical assessment"]

Re-engineer and validate an existing enterprise data platform built on Azure Synapse, auditing end-to-end architecture from ingestion to consumption. Reverse-engineer pipelines, data models, transformations, and governance controls, identify defects and technical debt, and remediate issues. Lead target-state design aligned to lakehouse principles while migrating validated workloads to Databricks, re-implementing ingestion, orchestration, and governance with consistent data quality, reconciliation, and parallel-run cutover support.

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FursaFursa
Allianz
Allianz
1 day ago

Data Engineer Principal_3003 (Minneapolis, MN, US, 55416)

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Last checked: 24 minutes agoStatus: Live

Job Summary

Re-engineer and validate an existing enterprise data platform built on Azure Synapse, auditing end-to-end architecture from ingestion to consumption. Reverse-engineer pipelines, data models, transformations, and governance controls, identify defects and technical debt, and remediate issues. Lead target-state design aligned to lakehouse principles while migrating validated workloads to Databricks, re-implementing ingestion, orchestration, and governance with consistent data quality, reconciliation, and parallel-run cutover support.
Location: Minneapolis
Workplace: Hybrid
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Assess and re-engineer an enterprise data platform end-to-end, from source ingestion through data consumption.
  • •Reverse-engineer, document, and validate pipeline logic, data models, transformation frameworks, and data governance controls.
  • •Find and remediate gaps, defects, and technical debt; ensure correctness of patterns like CDC, SCDs, deduplication, and reconciliation.
  • •Design and implement target-state lakehouse designs and migrate workloads to Databricks with governance and control framework fidelity.
  • •Re-implement ingestion/transformation/orchestration pipelines, support parallel-run validation before cutover, and mentor/review less experienced engineers.

Pay and Benefits

Salary: USD 110,000 - 150,000 annually
Perks:Health Insurance401kPaid LeavePaid Parental

Key Requirements

  • •7+ years of hands-on data engineering experience, including platform migration or re-engineering of complex enterprise platforms.
  • •Strong expertise in Azure Synapse Analytics (Pipelines, Spark Pool, Dedicated SQL Pool) and Azure data platform components (ADLS Gen2, Delta Lake on Azure).
  • •Deep knowledge of enterprise data governance patterns, including audit trails, reconciliation, data quality controls, and SCD versioning (SCD Type 0/1/2).
  • •Strong Python and SQL skills, with ETL/ELT at scale and the ability to model relational/dimensional/lakehouse data correctly.
  • •Ability to reverse-engineer existing implementations, validate intent vs defects, and execute migration plans to Databricks lakehouse while preserving governance semantics.
Experience:7+ yearsEnterprise data platformsData engineeringData governanceLakehouseMigration
Skills:CommunicationAnalytical mindsetMentoringCollaborationTechnical assessment
Tech Stack:Azure Synapse AnalyticsAzure DatabricksAzure Data Lake Storage Gen2 (ADLS Gen2)Delta LakeDelta Live TablesUnity CatalogApache SparkPySparkSpark SQLOracle Golden Gate ReplicationAzure Analysis ServicesPower BIAzure DevOpsGitHub ActionsTerraformARMDockerYAMLSQLOracle DB

Company Brief

Allianz
Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.
Industry: Insurance
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Munich, Germany
Founded: 1890
WebsiteLinkedIn