Job Description A leading insurance organization is seeking a
Lead Data Architect to drive the strategy, design, and evolution of a modern enterprise data platform. This individual will play a critical role in defining data architecture standards, building scalable data solutions, and leading the transformation of complex data environments into a governed, cloud-based ecosystem.
The ideal candidate will combine deep hands-on technical expertise with architectural leadership, working closely with business and technology stakeholders across underwriting, claims, policy administration, billing, actuarial, finance, and analytics functions. This is a highly visible role responsible for establishing enterprise-wide data standards and delivering scalable data solutions that support operational and strategic decision-making. Required Skills & Experience
- 5-10+ years of experience in data architecture and data engineering
- Proven experience leading enterprise-scale data architecture initiatives
- Strong expertise in conceptual, logical, and physical data modeling
- Deep hands-on experience with Snowflake and cloud data platforms
- Advanced SQL development skills
- Strong Python experience for data engineering and automation
- Experience designing and developing cloud-native ELT/ETL solutions
- Expertise with CDC, event-driven architectures, APIs, and modern data ingestion patterns
- Experience with data quality, metadata management, lineage, and governance frameworks
- Experience leading technical teams and mentoring data engineers
- Strong communication skills with the ability to present architectural decisions to senior leadership
- Insurance industry experience is required
- Bachelor's degree in Computer Science or a related field
- Must be authorized to work in the United States without sponsorship
Desired Skills & Experience
- Snowflake certification
- Experience with dbt, Airflow, Azure Data Factory, or similar technologies
- Knowledge of Master Data Management (MDM)
- Experience building canonical and semantic data models
- Familiarity with Power BI or other enterprise BI platforms
What You Will Be Doing
Daily Responsibilities - Define and maintain enterprise data architecture standards and best practices
- Design scalable data models supporting policy, claims, underwriting, billing, and actuarial domains
- Lead the development of modern ELT/ETL pipelines and cloud-native data solutions
- Drive the migration of legacy data environments to automated and event-driven architectures
- Establish data quality, governance, lineage, and metadata standards
- Optimize Snowflake performance, reliability, and cost efficiency
- Design and oversee medallion architecture frameworks including bronze, silver, and gold layers
- Partner with business stakeholders to translate requirements into scalable technical solutions
- Evaluate emerging technologies and lead proof-of-concept initiatives
- Provide architectural oversight across enterprise data programs
- Mentor and guide data engineering teams, ensuring adherence to engineering standards and best practices
- Support enterprise analytics, reporting, and operational decision-making through trusted data assets
The Offer
- Competitive salary and bonus opportunity
- Opportunity to shape and lead a next-generation enterprise data platform
- High-visibility leadership role with significant technical influence
- Collaborative environment focused on innovation and modernization
You will receive the following benefits
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
- 401(k)
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