DataOps Engineering Lead - Data & Automation Champion

Selective Insurance; Short Hills (NJ); On-site; USD 130,000 - 176,000; Full time

Job summary

Selective Insurance is seeking an energetic Data Engineering Team Lead to drive data, analytics, and DataOps initiatives within the Information Management group. You will lead a high-performing team, shape data product delivery, and collaborate across architecture, analytics, and platform teams to operationalize data products end-to-end.

The role emphasizes leadership, cloud data platform experience, and hands-on work with modern data tooling to ensure reliable and scalable data solutions.

Qualifications

• 8+ years of experience in data engineering, analytics engineering, or platform engineering.
• Proven leadership with accountability for complex deliverables.
• Excellent communication skills.
• Strong experience with cloud data platforms (Azure, AWS, or GCP).
• Experience with Databricks, or modern lakehouse architecture.
• Proficient with Data pipelines and orchestration (Airflow, ADF, Dagster, dbt).
• Proficient with CI/CD tools (Azure DevOps, GitHub Actions, GitLab, etc.).
• Proficient in Data modeling, PySpark and SQL.
• Proficient in modern data architecture.
• Experience with DataOps or other automation frameworks.

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 endtoend.
• Establish operational expectations for data products, including reliability targets and change management.
• Drive adoption of automation, orchestration, and observability for data pipelines.
• Ensure on-time delivery and architectural quality of solutions.
• Collaborate with business and IT to develop accurate requirements and architectural solutions.
• Drive process improvements within the team to improve efficiency and quality.
• Coordinate with architecture group on new design patterns and technology.
• Assist in prioritizing development projects and system maintenance requests.
• Support talent development through coaching and mentoring of team members.

Skills

Leadership

Communication

Data engineering

Cloud data platforms

Databricks

Data pipelines

CI/CD

Data modeling

PySpark

SQL

DataOps

Education

College degree in Computer Science or MIS

Tools

Databricks

Airflow

ADF

Dagster

dbt

Azure DevOps

GitHub Actions

GitLab

Job description

Selective Insurance is seeking an energetic Data Engineering Team Lead to drive data, analytics, and DataOps initiatives within the Information Management group. You will lead a high-performing team, shape data product delivery, and collaborate across architecture, analytics, and platform teams to operationalize data products end-to-end.

The role emphasizes leadership, cloud data platform experience, and hands-on work with modern data tooling to ensure reliable and scalable data solutions.