Acrisure · 1 day ago
Senior Director of Data Engineering
Austin, TX
Full-time
Onsite
Senior Level, Lead/Staff
10+ years expAcrisure is a fintech leader that has evolved into a rapidly growing technology company. The Senior Director of Data Engineering will lead the design, implementation, and operation of Acrisure's next-generation data platforms, managing a team of around 20 to build scalable data solutions that support the company's business functions.
Financial ServicesInsuranceInsurTech
Responsibilities
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
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, and/or other technologies
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
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
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
Optimize cloud resource utilization to manage costs while meeting performance requirements
Translate business needs into effective data engineering solutions
Ensure data engineering initiatives align with and support business objectives
Partner closely with Analytics teams to understand requirements and design solutions
Build strong relationships with business functions (Finance, HR, GTM, Customer Success, Product) and business lines (North America - Retail, North America - Specialty, International, Benefits & Pay, Reinsurance)
Develop dashboard and reporting mechanisms to demonstrate value and ROI of data engineering investments
Qualification
Required
Bachelor's degree in computer science, Information Technology, or related field; Master's degree preferred
10+ years of experience in progressively responsible data engineering roles
At least 6 years of experience in leadership positions building and managing engineering teams of 20+ professionals
Proven expertise in cloud data lake technologies such as Databricks, Snowflake, Palantir
Strong experience with major cloud platforms (Google Cloud, Azure) and their respective data services
Deep understanding of data modeling, data warehousing, and data pipeline development
Experience implementing data governance, security, and compliance controls
Strong understanding of modern software development practices including CI/CD, testing, and version control
Experience managing data projects in financial services, insurance, or similar regulated industries preferred
Track record of successful delivery of large-scale, enterprise data initiatives
Excellent communication skills, both written and verbal, with the ability to translate complex technical concepts to business audiences
Preferred
Experience with real-time data processing and streaming technologies (Kafka, Spark Streaming, etc.)
Knowledge of machine learning operations (MLOps) and supporting data science workloads
Experience with data mesh and/or data fabric architectural approaches
Proficiency in multiple programming languages (Python, Scala, Java, etc.)
Understanding of API development and integration patterns
Strong project management and program management skills
Demonstrated client focus and ability to build strong stakeholder relationships
Expertise in agile methodologies and team leadership
Ability to influence and drive consensus across organizational boundaries
Track record of mentoring and developing engineering talent
Benefits
Competitive salary and performance-based bonus
Equity/stock options
Comprehensive health, dental, and vision insurance
401(k) retirement plan with company match
Innovation focused work environment
Professional development opportunities
Paid time off and parental leave
Employee assistance program
Company
Acrisure
Acrisure offers financial services solutions for insurance, reinsurance, real estate, cyber services, and asset and wealth management.
10001+ employees
H1B Sponsorship
Acrisure has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2022 (2)
Funding
Current Stage
Late StageTotal Funding
$11.37BKey Investors
Bain Capital Special SituationsAbu Dhabi Investment AuthorityBDT & MSD Partners
2025-06-06Debt Financing· $550M
2025-05-20Private Equity· $2.1B
2024-06-05Debt Financing· $1.6B
Leadership Team
Greg Williams
Co-Founder, Chairman & CEO
Mark Wassersug
Chief Technology Officer
Recent News
Company data provided by crunchbase