Lead Data Architect

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 Specialization : • Machine Learning/Data Science