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., 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

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