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Selective Insurance

Personalized insurance solutions via independent agents

Lead DataOps Engineer

Engineering LeadershipUpdated on Nov 10
Full-timeIn-person

About the Job

Requirements

  • Proven history of owning and taking accountability for leading others to complete complex deliverables.
  • Eight or more years of experience in data engineering, analytics engineering, or platform engineering.
  • Strong experience with cloud data platforms such as Azure, AWS, or GCP.
  • Experience with Databricks or modern lakehouse architecture.
  • Proficiency with data pipelines and orchestration tools such as Airflow, Azure Data Factory, Dagster, or dbt.
  • Proficiency with continuous integration and continuous delivery tools such as Azure DevOps, GitHub Actions, or GitLab.
  • Proficiency in data modeling, PySpark, and SQL.
  • Proficiency in modern data architecture.
  • Experience with DataOps or other automation frameworks.

Responsibilities

  • Lead a high-performing team in delivering key components and business deliverables.
  • Lead the design and implementation of DataOps frameworks, standards, and best practices across the organization.
  • Partner with Data Architecture, Analytics, AI/ML, and Platform teams to operationalize data products end-to-end.
  • Establish operational expectations for data products and data contracts, including reliability targets, change management, and consistency of consumption for analytics and AI use cases.
  • Drive adoption of automation, orchestration, and observability capabilities for data pipelines.
  • Ensure successful on-time delivery and the technical and architectural quality of solutions.
  • Collaborate with individuals across business and IT organizations to develop accurate business requirements and design architectural solutions.
  • Resolve and escalate technical and project delivery issues as needed.
  • Drive process improvements within the team and across the department to improve efficiency and quality.
  • Work with the architecture group to coordinate new design patterns and technology.
  • Assist in prioritizing new development projects, enhancements to existing systems, and system maintenance requests.
  • Contribute to project planning and estimation.
  • Support talent development in the organization through coaching and mentoring team members.
  • Ensure design, code, and test plan reviews are conducted as appropriate.

Desired Qualifications

  • Experience with SAFe agile or a similar agile process.
  • A college degree in Computer Science or Management Information Systems.
  • Familiarity with streaming platforms such as Event Hubs, Kafka, or Kinesis.
  • Experience supporting machine learning or AI workloads in production.
  • Property and casualty insurance experience.
  • Experience working within the Azure ecosystem.

About the Company

Selective Insurance

Personalized insurance solutions via independent agents

Selective Insurance provides personal and business insurance solutions tailored to each customer’s needs. It works with independent agents to assess coverage requirements and delivers policies through those partners, backed by unique programs, products, and value-added services that help protect what matters most. Unlike some competitors that offer one-size-fits-all plans, Selective focuses on highly personalized coverage built with input from independent agents, ensuring customers get a policy that fits their lifestyle. The company’s goal is to give customers peace of mind through a highly personalized insurance experience and to support communities by offering thoughtful, customized protections.

Company size
1,001-5,000
Company stage
IPO
Headquarters
United States
Founded
1926

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