Lead Data Architect

🔥 2 minutes ago

🦌 Connecticut, District of Columbia, +10 more states – Remote

🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🦞 Maine – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🍁 Vermont – Remote

💵 $121.9k - $164.9k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Lead the design, build, and evolution of Coverys’ next-generation enterprise data platform and data integration pipeline • Define the architectural blueprint and establish data modeling standards • Lead enterprise data architecture aligned to business domains including Policy, Party, Claims, Billing, and Underwriting • Develop canonical and semantic data models for analytics, reporting, and operational use cases • Define standards for data modeling, data quality, naming conventions, metadata, lineage, and documentation • Translate business requirements into scalable data structures and provide technical recommendations and tradeoffs • Lead design and development of ELT/ETL pipelines using modern cloud-native tools and frameworks • Lead 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 • Serve as a hands-on technical expert for complex data engineering challenges, including pipeline design, performance tuning, scalability, and production troubleshooting • Design and build reusable data engineering frameworks, shared components, and reference implementations • Evaluate emerging data technologies and lead proofs of concept • Define and apply engineering guardrails for security, observability, resiliency, recoverability, and operational readiness • Mentor engineering and data engineering team members, including SQL developers and analytics engineers transitioning into modern data engineering roles • Ensure the data engineering team follows sound technical processes and best practices • Design and oversee medallion-style data layers (bronze/silver/gold) • Partner 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 reusable, scalable data assets • Partner with business analysts, data scientists, actuaries, and analytics teams • Provide technical direction, review designs and code, and remove delivery blockers • Provide architectural oversight and technical leadership for major enterprise data initiatives • Support evolving business needs as applicable

🎯 Requirements

• Bachelor’s degree in computer science or relevant field from an accredited college or university, required • 5-10 years of experience in data architecture and data engineering, including technical leadership experience, required • Strong data modeling expertise (conceptual, logical, physical) • Hands-on experience designing enterprise data architecture • 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 • Mentoring data engineering teams • Ability to communicate designs clearly to the senior leadership team • Qualified candidates must be eligible to work in the US without sponsorship or restriction