Job Description

About The Role

As a Data Architect, you'll be at the intersection of business needs and technical implementation, designing and developing end-to-end data pipelines that transform raw information into actionable insights. You'll work collaboratively with stakeholders across the organization to understand requirements and deliver scalable, efficient data solutions.

Key Responsibilities

Design and implement data storage solutions including data lakes and data warehouses
Develop and maintain robust data pipelines to extract, transform, and load data from various source systems
Create and manage data models to support analytical and operational requirements
Optimize data storage and processing for performance, cost, and reliability
Collaborate with business stakeholders to understand requirements and provide efficient solutions
Integrate data from multiple sources, including APIs, databases, and external data providers
Ensure data quality and integrity through validation and transformation processes
Document data engineering processes, systems, and standards
Monitor and optimize the performance of data systems and pipelines
Promote best practices for data management and engineering
Partner with Product Owners and Engineering Leads to build target architectures and improve business processes

About The Team

The role is assigned to the Data Engineering & Analytics Product Area (Area III) which is the data engineering and analytics backbone for business teams spanning HR, Legal & Compliance, Procurement, Communications & Corporate Real estate.

About You

You're a problem-solver at heart with a passion for data and technology. You thrive in collaborative environments where you can apply your technical expertise to create solutions that deliver business value. You enjoy staying current with emerging technologies and are committed to continuous learning and improvement.

We Are Looking For Candidates Who Meet These Requirements

Bachelor's or Master's degree in a quantitative field such as Computer Science, Mathematics, Engineering, or Statistics
4-6 years of experience designing and implementing end-to-end data pipelines, data models, and analytical dashboards
Strong programming skills with proficiency in Python, PySpark, SQL, and TypeScript
Experience with data visualization tools like Palantir Workshop, Slate, and Contour
Proficiency in Spark-based data lake design and operations
Experience with integration technologies including REST/SOAP APIs and event-based architecture

These Are Additional Nice To Haves

Palantir certification, Azure Data Engineering certification, or AI-102 Azure AI Engineer certification
Experience with relational databases such as Oracle and Azure SQL
Familiarity with cloud platforms (particularly Azure) and their data services
Experience with data modeling and schema design
Strong interpersonal, written, and verbal communication skills
Ability to explain technical concepts to non-technical audiences

Experience working in Agile/Scrum environments

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

Keywords

Reference Code: 137378