Staff Data Platform Engineer

About the role

Parsyl is an insurer of complex supply chain risks that uses enhanced data and technology to better understand, price and mitigate risk. Parsyl operates in the US and London insurance markets through a Managing General Underwriter (MGU) and its own managed syndicate at Lloyd’s of London, which it utilizes to lead one of the largest marine cargo consortia in the London market. Parsyl has more than 20 different providers of third party capacity across its operations including delegated underwriting, consortia, reinsurance and Funds at Lloyd’s capacity providers.

Responsibilities

• Data Platform Architecture & Strategy - Design and own the evolution of our data platform, defining the technical foundation that enables reliable data integration, quality enforcement, and self-service capabilities.
• Data Governance Program Design - Shape the structure and technical implementation of our data governance program, establishing the frameworks that ensure upstream teams produce trustworthy, well-managed data, including facilitating cross-team alignment on data ownership and stewardship for shared entities.
• Tooling Evaluation & Strategy - Research, evaluate, and recommend SaaS and open-source solutions that support the operation of the data platform and data governance program. Own the selection and implementation process to ensure tools integrate seamlessly with our platform and workflows.
• Technical Mentorship & Collaboration - Provide architectural guidance and technical mentorship to data engineers while partnering with software engineering teams to understand their workflows and constraints. Educate engineers on data platform considerations and integrate their needs into platform design. Foster a culture of engineering excellence, knowledge sharing, and continuous improvement across the organization.
• Cross-Functional Partnership - Work closely with data engineering, data science/modeling, analytics, and product teams to ensure the platform serves diverse use cases—from operational reporting to advanced analytics and ML workloads.

Requirements

8+ years of data engineering experience
Strong proficiency in Python, SQL, Terraform and Go
Experience serving in an architect role for complex data systems
Deep understanding of data architecture patterns and best practices
Experience designing systems that enable data sharing and integration across multiple applications
Experience working with data governance programs, including Master Data Management and Data Quality validation
Strong command of modern data tools, ETL/ELT frameworks, and cloud platforms (AWS preferred)
Experience with data warehousing solutions and analytics databases, ideally duckdb, Motherduck, ducklake
Previous experience with mentorship or people management

Qualifications

Excellent communication skills and ability to collaborate across teams

Skills

Experience leveraging AI tooling within data pipelines
Experience in the insurance or financial services industry

Benefits

• Market competitive salary with an anticipated base compensation range of $180,00-$205,000. Actual salaries will vary depending on a candidate’s location, experience, qualifications, and skills.
• Additional Financial Benefits include:
• Stock options
• 401(k) including company match
• Health and Wellness Benefits include:
• Medical, dental, and vision insurance effective on your start date (100% of medical, dental, and vision premiums for employees and 75% of premiums for dependents based on a solid, mid-tier plan)
• Twelve weeks of fully paid maternity / primary parental leave
• Six weeks of fully paid medical leave or paternity leave
• Monthly wellness benefit
• Time-off and Vacation Benefits include:
• Unlimited vacation policy
• Company Breaks - quarterly mental health days
• Paid sabbatical program
• Additional Work Environment Benefits include:
• Significant career growth opportunities and continuing education stipend
• Commuter benefit of for public transportation or parking costs
• Home office set-up stipend