Data Architect

🕒 July 23

🌐 United States, United Kingdom, +1 more countries – Remote

🇺🇸 United States – Remote 🇬🇧 United Kingdom – Remote 🇮🇪 Ireland – Remote

🌾 Nebraska, Massachusetts, +1 more states – Remote

🌾 Nebraska – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote

💵 $96.7k - $130.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Coverys

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2010

🏥 Healthcare

💼 Consulting

🛡️ Insurance

Healthcare • Consulting • Insurance

Coverys is a leading provider of insurance and risk management solutions, specializing in medical professional liability insurance for healthcare professionals and organizations. With over 45 years of experience, Coverys is rated A (Excellent) and is committed to protecting healthcare providers such as doctors, surgeons, nurses, and healthcare facilities including hospitals and outpatient centers. The company offers a wide range of insurance products designed to meet the specific needs of the healthcare sector, including risk mitigation services and value-based care risk protection. Coverys is also involved in the community through the Coverys Community Healthcare Foundation, which provides charitable contributions and grant programs to support healthcare and related organizations. Driven by a mission to support and protect the healthcare community, Coverys is dedicated to innovation and improving healthcare outcomes through its suite of services.

📋 Description

•The Data Architect will help design, build, and evolve our next‑generation enterprise data platform & data integration pipeline. •This role is central to our transformation toward a modern, governed, cloud‑based data ecosystem that supports all functions at Coverys (notably underwriting, claims, actuarial, finance, and enterprise analytics etc.). •The Data Architect will help define the architectural blueprint, establish data modeling standards, and guide the development of scalable, automated data pipelines in Snowflake. •In addition to design of the architecture, this position will work closely with business and technology teams to ensure data is accurate, trusted, and available for advanced analytics, reporting, and operational decision‑making. •Design and maintain enterprise data architecture aligned to business domains (Policy, Party, Claims, Billing, Underwriting, etc.). •Ensure data architecture design aligns to enterprise architecture standards & partners closely with Enterprise Architecture. •Develop canonical and semantic data models to support analytics, reporting, and operational use cases. •Define standards for data modeling, data quality, naming conventions, metadata, lineage, and documentation. •Partner with business stakeholders to translate requirements into scalable data structures. •Build ELT/ETL pipelines using modern cloud-native tools and frameworks. •Lead the migration from legacy batch processes to automated, event-driven, or CDC-based ingestion patterns. •Implement data quality rules, validation frameworks, and reconciliation logic. •Optimize Snowflake workloads for performance, cost, and reliability. •Design and oversee medallion-style data layers (bronze/silver/gold) for ingestion, curation, and consumption. •Work with Data Governance to establish data dictionaries, lineage, classification, data quality and stewardship models. •Ensure consistent use of canonical identifiers across systems and domains. •Promote data-as-a-product principles and guide teams toward reusable, scalable data assets. •Partner with business analysts, data scientists, actuaries, and analytics teams to support data needs. •Mentor SQL developers and analytics engineers transitioning into modern data engineering roles. •Mentor and coach the data engineering team & lead the development of pipeline and architecture platforms. •Provide architectural oversight for major data initiatives across the enterprise. •Support evolving business needs, as applicable.

🎯 Requirements

•Bachelor’s degree in computer science or relevant field from an accredited college or university, required. •3-5 years of experience in data architecture, data engineering, required. •Strong data modeling expertise (conceptual, logical, physical). •Hands-on experience designing enterprise data architectures. •Advanced ELT/ETL development experience (preferably cloud-native). •Deep experience with cloud data warehouses, ideally Snowflake. •Proficiency in Python for data engineering and automation. •Strong SQL skills and experience with large-scale data processing. •Experience with data quality frameworks, metadata management, and lineage. •Understanding of modern data patterns (CDC, event-driven ingestion, APIs, streaming, orchestration). •Experience in the insurance industry, preferred. •Snowflake certification, a plus. •Familiarity with tools such as dbt, Airflow, Azure Data Factory, or similar. •Knowledge of MDM, canonical modeling, and governance frameworks. •Experience with Power BI or other BI tools. •Qualified candidates must be eligible to work in the US without sponsorship or restriction.

🏖️ Benefits

•Our benefits package is available day 1 of employment, so you never miss a beat. •There is truly something for everyone in our benefits package, whether you are raising a family or a furry friend, or you're an avid traveler who uses PTO to chase down your next adventure. •Connecting with colleagues takes on new meaning when you're elbow-deep planting trees or rolling up your sleeves serving lunch to those in need. •The giving doesn't end there—Coverys cares about the initiatives near and dear to your heart. That's why we offer directed donations, as well as company matchings, to support the organizations that you are personally involved with.