Job Description A well-established organization within the insurance and risk solutions industry is hiring a Staff Data Architect to help shape and scale its enterprise data ecosystem. This role will serve as a technical leader responsible for defining architecture standards, guiding platform modernization efforts, and delivering high-impact cloud data solutions that support critical business initiatives.
The ideal candidate brings extensive experience designing enterprise-grade data platforms and has a proven track record building scalable, governed, and high-performing data environments. Working closely with data engineering, analytics, and business stakeholders, the Staff Data Architect will drive architectural decisions that enable reporting, operational insights, and advanced analytics across the organization.
Location: Remote (EST/CST preferred) or Hybrid in Boston, MA
Compensation: Up to $160,000 base salary Required Skills & Experience 5+ years of direct experience as a Data Architect
8+ years of professional experience across data architecture, data engineering, or related data disciplines
Advanced expertise in conceptual, logical, and physical data modeling
Deep hands-on experience designing and optimizing Snowflake environments
Strong SQL skills with experience supporting large-scale enterprise datasets
Python programming experience for automation, data processing, and engineering solutions
Proven success architecting cloud-based data platforms and modern data ecosystems
Experience developing and maintaining ELT/ETL frameworks and pipelines
Knowledge of data governance, metadata management, data lineage, and quality controls
Strong understanding of CDC methodologies, event-driven architectures, orchestration frameworks, and modern data platform patterns
Excellent communication skills with the ability to influence technical and business audiences
Experience providing technical leadership and mentoring engineering teams
Must be authorized to work in the United States without sponsorship
Desired Skills & Experience Experience working with Databricks
Familiarity with dbt, Airflow, Azure Data Factory, or comparable technologies
Knowledge of Master Data Management (MDM) practices
Background supporting enterprise reporting, analytics, and business intelligence programs
Prior experience within the insurance industry
Snowflake certification
Exposure to Power BI or other business intelligence platforms
What You Will Be Doing Daily Responsibilities Define and execute the long-term enterprise data architecture strategy
Create scalable and maintainable data models that support operational and analytical workloads
Design, implement, and enhance Snowflake-based data solutions
Lead the architecture of cloud-native data integration and transformation processes
Establish and enforce enterprise data standards, governance practices, and architectural guidelines
Drive modernization efforts using medallion architecture and contemporary data platform patterns
Improve platform performance, resiliency, scalability, and cost efficiency
Collaborate with business leaders and technology teams to translate requirements into strategic data solutions
Provide architectural leadership across enterprise-wide data initiatives
Coach and mentor data engineers, analytics engineers, and other technical team members
Champion architectural best practices and promote sound design principles across teams
Conduct design reviews and offer guidance on complex technical challenges
Research emerging technologies and evaluate new capabilities through proof-of-concept efforts
The Offer Base salary up to $160,000
Fully remote opportunity for candidates located in EST or CST time zones
Hybrid work option available in Boston, MA
Opportunity to shape the future direction of enterprise data architecture
Highly visible leadership role with significant influence across the organization
You will receive the following benefits Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.