Senior Director of Data Engineering

Senior Director of Data Engineering 

Location: Austin, TX 

Department: Data & Analytics 

Reports To: Chief Data Officer 

Company Overview 

Acrisure is a fintech leader that has evolved from a top 10 global insurance broker into a rapidly growing technology company. With expertise in insurance, reinsurance, real estate services, cyber services, and asset & wealth management, Acrisure uses AI and robotic process automation to transform the insurance value chain. The company delivers innovative solutions through established regional agencies, reaching millions of clients across the US and around the world. Acrisure's tech-forward approach drives value creation and improves outcomes across the financial services ecosystem. 

Job Summary 

The Senior Director of Data Engineering will lead the design, implementation, and operation of Acrisure's next-generation data platforms that power the company's analytics capabilities. This role will lead a data engineering team of around 20 with help of two leaders and build scalable, resilient data solutions that support Acrisure's business functions and lines of business. The ideal candidate will combine deep technical expertise in cloud data lakes (Databricks, Snowflake, Palantir) and cloud platforms (Google Cloud, Azure) with strategic leadership skills to drive the technical vision and implementation of enterprise data solutions. This position plays a crucial role in Acrisure's data-driven transformation efforts. 

Key Responsibilities 

Strategic Leadership & Vision 

• Develop and execute the technical vision and roadmap for Acrisure's data engineering function 

• Partner with Analytics partners and business stakeholders to understand requirements and translate them into effective data solutions 

• Stay current with emerging technologies and industry trends to continually evolve data engineering capabilities 

• Serve as a trusted advisor to executive leadership on data engineering matters 

Platform Development & Architecture 

• Lead the design, implementation, and evolution of enterprise-scale data platforms using Azure, Palantir, Databricks and other modern data technologies 

• Lead development of enterprise semantic layer to serve as one stop data shop for all global consumers, utilizing Palantir Ontology

• Establish architectural standards and best practices for data ingestion, processing, storage, and access 

• Ensure data platforms meet enterprise requirements for scalability, reliability, security, compliance and performance 

• Lead the implementation of data governance and data quality frameworks within data engineering systems 

Team Leadership & Development 

• Build, mentor, and lead a high-performing team of data engineers and leaders 

• Set clear objectives and performance standards for the data engineering function 

• Implement agile development methodologies and DevOps practices to accelerate delivery 

• Foster a culture of innovation, continuous learning, and technical excellence 

• Collaborate with other technology and analytics leaders to ensure cohesive solutions 

Operational Excellence 

• Establish metrics and monitoring to ensure reliable data platform operations 

• Implement disaster recovery and business continuity solutions for critical data assets 

• Create processes for incident management, change management, and capacity planning