Lead Data Architect

Join Coverys as a Lead Data Architect and play a critical role in shaping the future of the organization's enterprise data ecosystem. This is a full-time leadership opportunity focused on designing, building, and evolving a modern cloud-based data platform centered on Snowflake, supporting key business functions including underwriting, claims, actuarial, finance, and enterprise analytics. Location and work arrangement: [Confirm: location/work model]. This is an opportunity for a highly technical data leader who enjoys balancing architecture strategy with hands-on engineering.

You will define enterprise-wide data standards, modernize legacy data pipelines, establish scalable data models, and mentor engineering teams while driving the organization's transition to a trusted, governed, and analytics-ready data platform. The ideal candidate thrives in complex environments, enjoys cross-functional collaboration, and is passionate about building enterprise-grade data solutions that directly influence business outcomes.

Required Skills & Experience Bachelor's degree in Computer Science or a related field from an accredited college or university
5-10 years of data architecture and data engineering experience, including technical leadership experience
Strong expertise in conceptual, logical, and physical data modeling
Hands-on experience designing enterprise data architecture
Advanced ELT/ETL development experience utilizing modern cloud-native technologies
Deep experience with cloud data warehouse platforms, preferably Snowflake
Strong Python programming skills for data engineering and automation
Advanced SQL skills and experience working with large-scale data processing environments
Experience with data quality frameworks, metadata management, and data lineage
Understanding of modern data integration patterns including CDC, event-driven ingestion, APIs, streaming, and orchestration
Knowledge of MDM, canonical data modeling, and governance frameworks
Experience mentoring and coaching data engineering teams
Ability to communicate technical architecture and design decisions to senior leadership
Eligible to work in the United States without sponsorship or employment restrictions

Desired Skills & Experience Experience in the insurance industry
Snowflake certification
Experience with dbt, Airflow, Azure Data Factory, or similar modern data engineering tools
Experience with Power BI or other business intelligence platforms
Experience leading proofs of concept and evaluating emerging data technologies
Experience implementing data-as-a-product principles across enterprise environments
What You Will Be Doing
Tech Breakdown
Snowflake Data Platform & Optimization
Data Architecture & Data Modeling
Python, SQL, and Data Engineering Development
Data Governance, Metadata, and Data Quality Frameworks
Cloud Data Integration, CDC, and Event-Driven Architecture
Daily Responsibilities
Design and maintain enterprise data architecture across core business domains
Lead development and modernization of ELT/ETL pipelines and ingestion frameworks
Provide technical leadership, architectural oversight, and design reviews
Partner with business stakeholders, analytics teams, and enterprise architecture teams
Mentor data engineers and establish engineering standards, governance, and best practices
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.