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Data Platform Engineer Principal_999

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Data Platform Engineer Principal_999 in USA new

  • Allianz SE
  • Full time
  • Email
  • Minneapolis, MN

Responsibilities

  • Design Databricks architecture including Unity Catalog, Delta Lake optimization, cluster policies, compute pools, and job orchestration.
  • Architect Azure data landing zones, networking, ADLS Gen2 designs, and Azure Data Factory/Synapse pipeline orchestration.
  • Design Snowflake account architecture, ingestion, resource management, performance tuning, data sharing, and cost attribution.
  • Define reference architectures, golden patterns, engineering standards, reusable IaC modules, and automation frameworks.
  • Engineer fine-grained authorization, identity federation, secrets management, private connectivity, encryption, audit logging, and compliance evidence.
  • Build cost observability, compute-efficiency controls, FinOps automation, chargeback/showback models, and spend anomaly detection.
  • Define SLOs and SLIs, build observability capabilities, and design and test disaster-recovery architectures and runbooks.
  • Build CI/CD and drift-detection pipelines for infrastructure and platform configuration.
  • Lead Sev1/2 incident response, postmortems, and reliability improvements.
  • Mentor junior and mid-level cloud administrators and data engineers and represent the data platform team in architecture governance.

Requirements

  • 5+ years of experience in cloud infrastructure or platform engineering, including 3+ years focused on data platforms.
  • Deep hands-on Databricks expertise, including Unity Catalog, Delta Lake internals, cluster and job architecture, and performance tuning at scale.
  • Advanced Microsoft Azure experience with networking, IAM/Entra ID, ADLS Gen2, Azure Data Factory, and Synapse.
  • Advanced Snowflake experience with warehouse and query optimization, RBAC, data sharing, and Snowpipe/Streams/Tasks.
  • Strong Terraform expertise including module authoring, state management, and Databricks, Azure, and Snowflake provider configuration.
  • Strong Python, PowerShell, and Bash scripting and automation experience.
  • Understanding of distributed systems, Spark internals, query engines, and data lake/lakehouse architecture.
  • Experience designing for regulated-environment compliance, including DORA, GDPR, data residency, and data lineage requirements.
  • Proven incident-response and reliability-engineering experience, including SLO design, postmortems, and disaster-recovery testing.
  • Preferred qualifications include Databricks Certified Data Engineer Professional, SnowPro Advanced Architect, or Azure Solutions Architect Expert certifications.
  • Preferred experience includes financial services or insurance, DORA/GDPR implementation, OPA/Sentinel/Checkov, GitOps, Purview, Datadog, and internal developer platforms or self-service data infrastructure.

Benefits

  • Hybrid work model balancing in-person collaboration and remote work.
  • 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, and employee discounts.
  • Career development, digital learning programs, and international career mobility.
  • Annualized base pay range of $130,000-$170,000, with potential eligibility for an incentive-based annual bonus.

Salary: $130k - $170k/yr

Allianz SE

Allianz SE is a Munich-based public company that provides property-casualty, life and health insurance, and asset management to individuals and businesses worldwide. It earns premiums and investment-management fees, operating through brands such as Allianz Commercial and asset managers including ...

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