
Lead Data Architect - Remote EST (Insurance Experience Required)
Remote · USFull-time$130–160K/yrSeen 1 day agoSeen in employer's feed 1 day ago
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
A leading insurance organization seeks a Lead Data Architect to shape the strategy, design, and evolution of a modern enterprise data platform. The role establishes data architecture standards, builds scalable cloud-based solutions, and transforms complex data environments into a governed ecosystem. The architect partners with business and technology stakeholders across insurance functions and provides technical leadership for enterprise data programs.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
$130000 - $160000
Job Description A leading insurance organization is seeking a Lead Data Architect to drive the strategy, design, and evolution of a modern enterprise data platform. This individual will play a critical role in defining data architecture standards, building scalable data solutions, and leading the transformation of complex data environments into a governed, cloud-based ecosystem.
The ideal candidate will combine deep hands-on technical expertise with architectural leadership, working closely with business and technology stakeholders across underwriting, claims, policy administration, billing, actuarial, finance, and analytics functions. This is a highly visible role responsible for establishing enterprise-wide data standards and delivering scalable data solutions that support operational and strategic decision-making. Required Skills & Experience
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5-10+ years of experience in data architecture and data engineering
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Proven experience leading enterprise-scale data architecture initiatives
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Strong expertise in conceptual, logical, and physical data modeling
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Deep hands-on experience with Snowflake and cloud data platforms
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Advanced SQL development skills
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Strong Python experience for data engineering and automation
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Experience designing and developing cloud-native ELT/ETL solutions
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Expertise with CDC, event-driven architectures, APIs, and modern data ingestion patterns
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Experience with data quality, metadata management, lineage, and governance frameworks
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Experience leading technical teams and mentoring data engineers
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Strong communication skills with the ability to present architectural decisions to senior leadership
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Insurance industry experience is required
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Bachelor's degree in Computer Science or a related field
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Must be authorized to work in the United States without sponsorship
Desired Skills & Experience
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Snowflake certification
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Experience with dbt, Airflow, Azure Data Factory, or similar technologies
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Knowledge of Master Data Management (MDM)
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Experience building canonical and semantic data models
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Familiarity with Power BI or other enterprise BI platforms
What You Will Be Doing Daily Responsibilities
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Define and maintain enterprise data architecture standards and best practices
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Design scalable data models supporting policy, claims, underwriting, billing, and actuarial domains
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Lead the development of modern ELT/ETL pipelines and cloud-native data solutions
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Drive the migration of legacy data environments to automated and event-driven architectures
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Establish data quality, governance, lineage, and metadata standards
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Optimize Snowflake performance, reliability, and cost efficiency
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Design and oversee medallion architecture frameworks including bronze, silver, and gold layers
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Partner with business stakeholders to translate requirements into scalable technical solutions
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Evaluate emerging technologies and lead proof-of-concept initiatives
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Provide architectural oversight across enterprise data programs
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Mentor and guide data engineering teams, ensuring adherence to engineering standards and best practices
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Support enterprise analytics, reporting, and operational decision-making through trusted data assets
The Offer
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Competitive salary and bonus opportunity
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Opportunity to shape and lead a next-generation enterprise data platform
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High-visibility leadership role with significant technical influence
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Collaborative environment focused on innovation and modernization
You will receive the following benefits
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Medical Insurance
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Dental Benefits
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Vision Benefits
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Paid Time Off (PTO)
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401(k)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.
How this job compares
Set against the 1,758 open Data Architect jobs on Olive Jobs, counted November 12, 2026.
- Pay
- This posting$130–160K/yr
- Massachusetts median$133–208K/yr42 salary ranges
- US median$125–229K/yr1,403 salary ranges
This range's midpoint, $145K, is 20% below the Massachusetts median midpoint ($181K) — in the lowest quarter of Data Architect salary ranges in Massachusetts.
- Openings
- Olive Jobs lists 49 open Data Architect jobs in Massachusetts and 1,758 across the US. 12% of them nationwide are listed as remote or flexible.
- Hiring the most in Massachusetts
- Accenture7 open
- Amazon6 open
- Kelly Services (this employer)6 open
- Experience
- This posting asks for at least 5 years of experience — less than three in four Data Architect postings that state a minimum ask for (median 8 years, across 1,603 postings).
- Education
- This posting asks for a bachelor's degree; 622 of the 1,758 open Data Architect jobs (35%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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