Senior Data Platform Engineer: Azure Databricks & Snowflake

Allianz Technology; Minneapolis (MN); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Company bonus scheme

401(K) with company match

Paid holidays

Paid time off

Paid volunteer days

Tuition reimbursement

Paid parental leave

Employee shares program

Employee discounts

Job summary

Allianz Technology in the United States is seeking a seasoned cloud platform architect to design and govern data platform engineering across Databricks, Azure, and Snowflake. You will drive scalable architectures, security compliance, and cost-conscious operations.

Lead reference architectures, mentor engineers, and collaborate with security, data engineering, and enterprise architecture to shape the platform roadmap. Hybrid work is supported with a competitive package.

Qualifications

• 5+ years in cloud infra/platform engineering with data platforms.
• Hands-on Databricks Unity Catalog, Delta Lake, and performance tuning.
• Advanced Azure networking, IAM, ADLS Gen2 and Data Factory/Synapse.
• Snowflake multi-cluster warehouses, data sharing, and Snowpipe/Tasks.
• Infrastructure-as-Code via Terraform; scripting in Python/PowerShell.

Responsibilities

• Design and implement Databricks architecture and job orchestration.
• Architect Azure data landing zones and VNet integration.
• Design Snowflake account-level architecture and data sharing.
• Define reference architectures and govern platform reviews.

Skills

Databricks expertise

Azure engineering

Snowflake engineering

Terraform IaC

Python scripting

Security & compliance

Tools

Databricks

Snowflake

Azure

Terraform

GitHub Actions

OPA/Conftest

Job description

Allianz Technology in the United States is seeking a seasoned cloud platform architect to design and govern data platform engineering across Databricks, Azure, and Snowflake. You will drive scalable architectures, security compliance, and cost-conscious operations.

Lead reference architectures, mentor engineers, and collaborate with security, data engineering, and enterprise architecture to shape the platform roadmap. Hybrid work is supported with a competitive package.