Senior Data Platform Architect

Posted 7 Days Ago
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Dublin
Senior level
Insurance
The Role
The Senior Data Platforms Architect will design and implement a cloud-based data platform, optimize data processing workflows, and lead data engineering initiatives while mentoring junior staff.
Summary Generated by Built In

Company Description

PartnerRe is a leading, privately owned, multi-line global reinsurer with a reputation of financial stability and strength, and a commitment to rebuilding businesses and communities after risk events around the world.

Our mission is to continue to be a financially stable and predictable business partner, supporting our clients with solutions tailored to their needs, delivering superior returns to our owner, providing rewarding opportunities for our people and making a positive contribution to society. To achieve this, we live by our values of Integrity, Performance, Collaboration, Straightforward Communication and Respect and Care.

Core to The PartnerRe Experience is our global nature. No matter where you sit in the company, you are part of something bigger. Our teams represent our truly international mindset, forging connections across office locations and all levels of the organization and building a network of mutual success. The result is a day-to-day experience that will allow you to:

Shape your own career

Grow in a supportive environment

Connect with a community of experts

Make an impact

View Home - PartnerRe Experience e-book to find out more about what it’s like to work at PartnerRe.

We are always looking for bright, proactive individuals to join our team!

Please follow our Careers page for all updates on new positions. We look forward to receiving your application.

PartnerRe is an equal opportunities employer.

Please join our company LinkedIn Page for all updates on new positions that are coming live.

Job Description

About this job:

As a Senior Data Platforms Architect, you will play a key role in shaping our data platform strategy and ensuring the design, performance, and governance of our enterprise-wide cloud native data infrastructure. You will collaborate with stakeholders across risk, actuarial, underwriting, and finance to build a scalable and resilient data ecosystem.

Data Platform Architecture & Strategy

  • Design and implement a scalable cloud-based data platform leveraging Snowflake, Azure, and Datavirtuality.
  • Define best practices for data governance, security, compliance, and performance optimization in a regulated industry.
  • Architect and optimize data storage, modeling, and processing solutions for structured and semi-structured data.
  • Lead the integration of multiple data sources to create a unified, accessible, and efficient data environment.
  • Translate reinsurance business processes into efficient data models to support risk assessment, underwriting, claims, and financial reporting.

Data Engineering & Development

  • Build and maintain robust data pipelines using StreamSets, Alteryx, and Python.
  • Ensure data availability, reliability, and scalability across all business functions.
  • Implement real-time and batch data processing to support analytical and operational use cases.
  • Optimize ETL/ELT workflows for high-performance data ingestion and transformation.
  • Work with DevOps teams to implement CI/CD, infrastructure as code, and automation into data workflows.

Collaboration & Leadership

  • Work closely with data engineers, analysts, and business teams to deliver high-impact data solutions.
  • Act as a technical advisor to ensure alignment between data platform architecture and business needs.
  • Mentor junior team members and provide technical leadership in data platform best practices.
  • Communicate complex data concepts to non-technical stakeholders in a clear, actionable manner.

Qualifications

About you:

  • 10+ years of experience in data platform architecture and engineering.
  • Expertise in Snowflake, Datavirtuality and StreamSets
  • Proficiency in Python and SQL for data processing, automation, and optimization.
  • Experience with data modeling, storage, and performance tuning in cloud environments.
  • Strong knowledge of data governance, compliance, and security (experience in regulated industries like insurance, reinsurance, or financial services is a plus).
  • Experience with batch & real-time data processing.
  • Preferred: Experience in the reinsurance industry, with knowledge of reinsurance business processes and the ability to incorporate these into data models.
  • Experience with AI/ML-driven data solutions in the (re)insurance domain is a plus
  • Familiarity with containerization (Docker, Kubernetes) for data workloads
  • Certifications in Snowflake are an advantage

Additional Information

#LI-Hybrid

PartnerRe provides a working environment in which diversity is valued, where all employees feel welcome, respected, and empowered to perform at their best.  We invite you to learn more about D&I at PartnerRe.

Thank you,

PartnerRe Hiring Team

Top Skills

Alteryx
Azure
Datavirtuality
Docker
Kubernetes
Python
Snowflake
SQL
Streamsets
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The Company
San Francisco, California
1,337 Employees
On-site Workplace
Year Founded: 1993

What We Do

At PartnerRe, we are a community of curious, intelligent industry experts, united by a drive to outperform. As an international reinsurer with a robust capital base, we are a market leader with a reputation of financial stability and strength, and a commitment to rebuilding businesses and communities after risk events around the world.

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