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About the Role

Willis Re is building its global technology estate from the ground up, designed around data, analytics, and modern cloud platforms. This role will drive the implementation of the Snowflake data lake platform, focusing on hands-on development, data governance, quality assurance, and scaling.

Responsibilities

• Architect and build the Snowflake platform and its surrounding ecosystem, including ingestion, transformation, data models, curated data products, and warehouse design.
• Establish and maintain data tagging, classification, and cataloguing for discoverability and business meaning.
• Own data governance for the platform, covering ownership, stewardship, lineage, access policies, retention, and data residency.
• Define and implement data quality controls, automated testing, monitoring, and reconciliation.
• Design the platform to handle growing data volumes, including partitioning, clustering, storage tiering, retention, and archival strategies.
• Contribute to the data architecture, shaping target-state designs and feeding back real-world constraints.
• Direct and quality-assure the work of strategic delivery partners, reviewing designs and code.
• Set engineering standards for the team, covering CI/CD, automated testing, observability, and infrastructure-as-code.
• Mentor engineers, raise the technical bar, and help shape the scaling of the data engineering function.

Requirements

• 10+ years in data engineering, including leading the delivery of a significant data platform end-to-end.
• Deep, current, hands-on Snowflake expertise, including warehouse sizing, performance and cost optimization, RBAC, object tagging and masking policies, ingestion, sharing, marketplace, AI/ML capabilities (Cortex), and transformation/orchestration tooling (dbt).
• Strong track record establishing data governance in practice, covering tagging, classification, data catalogues, lineage, stewardship, and access policies.
• Practical experience implementing data quality frameworks, automated testing, and monitoring.
• Deep expertise in data modelling and warehouse design, with sound judgement on schema design, performance, and cost at high volume.
• Proven experience running data platforms at high volume, including partitioning, clustering, storage tiering, and defining retention/archival approaches.
• Strong SQL and Python skills.
• Practical experience of pipeline orchestration, ELT tooling, CI/CD (Azure DevOps or GitHub Actions), and infrastructure-as-code (Terraform/Bicep) on Azure.
• Sufficient architectural depth to shape platform design and challenge it constructively.
• Experience building to security and compliance requirements in regulated financial services.
• Experience leading or quality-assuring work delivered by vendors and partners.
• Ability to lead engineers, influence stakeholders, and explain technical trade-offs clearly.

Skills

• Snowflake
• Data Tagging
• Data Cataloguing
• Data Governance
• Data Quality
• Data Modelling
• SQL
• Python
• CI/CD
• Infrastructure-as-Code
• Azure DevOps
• GitHub Actions
• Terraform
• Bicep
• Snowflake Cortex AI
• dbt

Location

• Global

Work Type

• Full-time

Experience Level

• Lead
• 10+ years

Salary/Compensations

• $160,000 - $180,000 - $200,000
• 20% Bonus

Benefits

• Health and welfare benefits
• Paid time off
• 401K savings and other retirement programs
• Employee assistance programs

About the Company

• Willis Re combines specialist broking with analytics, modeling, and research to help insurers optimize risk transfer, strengthen balance sheets, and achieve sustainable growth.
• The company's approach is relationship-driven, transparent, and outcome-focused.
• Willis Re focuses on delivering cutting-edge analytical solutions for informed decision-making in risk selection, portfolio optimization, and capital management.
• The launch of Willis Re provides a strategic advantage by being unhindered by legacy, leveraging data, statistical models, and advanced technologies.
• Willis Re will leverage technical expertise from WTW’s Insurance Consulting & Technology business and WTW’s Research Network.

Equal Opportunity

• Willis Re is committed to embracing a diverse, inclusive, and flexible work environment.
• We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories.
• If you have a need that requires accommodation, please email us at talentacquisition@willisre.com.