Director, Data Engineering

Core Specialty Insurance Holdings, Inc.•Cincinnati, OH

2d•Hybrid

About The Position

We are looking for a Director, Data Engineering, to lead the continued optimization and maturation of our existing large-scale data platform. This is hands-on technical leadership role: roughly 60% of your time will be spent as a working solution architect – improving, rearchitecting, and scaling data pipelines, infrastructure, and models that power the business. The remaining 40% will be focused on strategic alignment, technical direction, and resource management for the Data Engineering team. A key part of the mandate is ensuring the platform remains AI/ML ready as it scales – well modeled and well governed so that advanced analytics teams can reliably and efficiently access high-quality data. Reporting to the Head of Data Technologies, you will lead a team of Data Engineers – setting the technical execution direction while staying close enough to the architecture and code to guide hard decision, unblock the team, and ensure the platform continues to scale reliably and security as usage and AI/ML initiatives grow.

Requirements

Deep expertise in data pipeline design, optimization, and distributed data processing architectures with experience identifying and resolving performance and scalability bottlenecks
Hands on experience with Snowflake or Databricks (experience in an architecture role with these platforms is a plus), Azure Synapse Analytics/MS Fabric
Strong knowledge of cloud data platforms (AWS, Azure, or GCP) and modern data warehouse/Lakehouse architectures (Delta Lake, Iceberg)
Working familiarity with AI/ML data requirements and tooling to support AI/ML enablement
Strong working proficiency with at least two programming languages (Python, Scala, SQL)
Solid understanding of data governance, security, and compliance practices in a regulated or enterprise environment
Experience with IAC and CI/CD practices for data systems (i.e. Terraform, GitHub Actions)
Proven ability to set technical direction while remaining hands-on and credible at the architecture and code level
Strong stakeholder management skills – the ability to translate between technical and non-technical audiences
Excellent prioritization and resource management skills across competing technical and business demands
A coaching mindset with genuine investment in growing the technical and soft skills of direct reports
12+ Years of experience in data engineering with significant experience in optimizing, scaling, and evolving large-scale mature data platforms
3+ years in an architect role (Solution, Enterprise, Data, Platform) with direct ownership of solution designs
3+ years in a leadership role managing data engineering teams – including direct people management responsibilities
Working knowledge of how data platforms enable AI/ML solutions
Track record of balancing hands-on technical delivery with people leadership and strategic planning
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over work authorization sponsorship now or in the future for this position.

Nice To Haves

Experience designing or implementing Agentic workflows for data engineering
Experience working with Property & Casualty insurance carriers
Experience with Data Vault 2.0 or Ensemble data modeling techniques

Responsibilities

Own the technical evolution of our existing large-scale data platform, identifying and driving improvements to architecture, performance and scalability as data volume and complexity use cases grow
Act as the lead solution architect for data engineering initiatives
Personally design, prototype, and development of frameworks and critical platform components – especially for high-risk/high complexity initiatives
Have a forward-thinking posture as it comes to creating an AI/ML ready data platform
Participate in the evaluation, selection and implementation of data platform tooling (i.e. – storage, orchestration, compute, streaming)
Reinforce existing data observability solutions/standards across pipelines and the platform
Diagnose and resolve complex production issues/technical debt across the data platform – partnering directly with other engineers to resolve.
Partner with VP, Head of Data to define and execute the roadmap for a fully optimized and scalable data platform – ensuring alignment to broader company and data strategies including AI/ML readiness assessments
Set technical direction and architectural standards for the team by working closely with Enterprise Architecture
Manage, mentor, and develop data engineers
Participate in resource planning and prioritization across the team’s product roadmap – balancing business requests with platform-based initiatives
Represent Data Engineering planning, budgeting, and resource management discussions as needed
Stay current with emerging trends in data engineering and data platform architecture – bringing innovations into continued data maturity for the organization.