Lead Data Architect - Remote EST (Insurance Experience Required)

• 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 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, Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

• 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)