Senior Data Platform Architect
Senior Data Platform Architect
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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 enterprisewide 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 cloudbased 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 semistructured 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 realtime and batch data processing to support analytical and operational use cases.
- Optimize ETL/ELT workflows for highperformance 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 highimpact 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 nontechnical 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 & realtime 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/MLdriven 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 :
#LIHybrid
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
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
