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Selective Insurance Company of America
Lead DataOps Engineer (Hybrid)
Career Insights for Platform Engineer
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Based on New Jersey data
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What they do
A Platform Engineer is responsible for the development of platforms that support the needs and use cases of different engineering teams across the organization. Creates reusable tools and workflows to streamline operational needs and facilitate automation tasks, supporting scalability of DevOps practices.
$133,738 / year median in New Jersey
Job Description
About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview Selective Insurance is seeking an energetic and collaborative Data Engineering Team lead to work on data, analytics and DataOps projects supporting the Information Management group. This group is responsible for technology support of all Data Engineering, Analytics and Reporting for specific business areas. This includes Data Engineering services, Enterprise reporting support and ML Ops Engineering operations for these groups. An ideal candidate will leverage their technical proficiency and leadership competencies to drive the delivery of key objectives. Responsibilities Lead a high performing team in the delivery of 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/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 both on-time successful delivery, and the technical and architectural quality of the solutions. Collaborate with individuals from all areas of the 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 directly with the architecture group to coordinate new design patterns and technology. Assist in prioritizing new development projects, enhancement projects for existing systems, and system maintenance requests. Act as a key contributor in planning and estimation of projects Support development of talent within the organization through coaching and mentoring of team members. Ensure design, code, and test plan reviews are conducted as appropriate.