Experience
5 - 9 yrs
Job Location
Hyderabad, India
Vacancy
1
Designation
Data Architect
Job Type
ONSITE
Job Description
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
Bachelors or Masters degree in Computer Science, Engineering, Mathematics, Statistics or a related field
46 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 worlds 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 worlds 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: 134837
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
Bachelors or Masters degree in Computer Science, Engineering, Mathematics, Statistics or a related field
46 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 worlds 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 worlds 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: 134837
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