Data Architect II - Hyd

About The Role

• We are looking for a versatile and driven Engineer with a strong foundation in Data Engineering and a growing focus on AI Engineering. This role is pivotal in designing and delivering robust data pipelines and platforms that power operational processes and advanced analytics, while also contributing to the development and deployment of AI-driven solutions.
• You will work closely with cross-functional teams to build scalable data infrastructure, ensure data quality, and support AI initiatives that drive business value.
  
  

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Build and optimize data storage solutions such as data lakes and data warehouses.
• Integrate data from diverse sources including APIs, databases, and third-party providers.
• Ensure data quality, consistency, and governance across systems.
• Develop and maintain data models to support analytical and operational use cases.
• Collaborate with business analysts and stakeholders to translate requirements into technical specifications.
• Monitor and enhance the performance of data systems and resolve bottlenecks.
• Document data engineering processes and promote best practices.
• Support the development and deployment of Gen AI applications.
• Assist in designing AI solutions from PoC into production environments.
• Contribute to model validation, monitoring, and performance tuning.
• Stay current with emerging AI technologies and tools.
  
  

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, Branding, Marketing & Corporate Real Estate

About You:

As a successful candidate for this role, you possess the below traits.

Must Have:

• Experience with data modeling and schema design
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics or a related field.
• 4–6 years of experience in data engineering, with exposure to AI/ML workflows. And end-to-end pipelines from sourcing to reporting.
• Knowledge of data quality best practices with experience in reconciliation testing.
• Proficient in Python, PySpark, cloud platforms such as Palantir Foundry or Azure Databricks / Azure Synapse / MS Fabric.
• Experience with data pipeline tools (e.g., Airflow, Azure Data Factory) and data lake architectures.
• Knowledge of integration technologies like REST/SOAP APIs and event-driven architectures.
• Strong problem-solving skills and a commitment to delivering high-quality solutions.
• Excellent communication skills and ability to work with both technical and non-technical stakeholders.
• A desire to continuously upskill & stay updated with emerging technologies
  
  

Good To Have:

• Certified in Palantir Foundry / experience with Palantir AIP.
• In depth knowledge of LLM's, AI Agents, RAG Architectures and Agentic Flows.
• Experience in building chatbots/applications using LLM's, AI Agents, RAG Architectures and Agentic Flows.
• Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Proficiency in SQL and experience with relational databases (e.g. Oracle, Azure SQL).
  
  

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.

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.

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Reference Code: 135372