Chief Data Architect

5 days ago

Jodhpur, Rajasthan, India beBeeDataArchitecture Full time ₹ 2,20,00,000 - ₹ 3,00,00,000

Transform Data Architecture with Us

About Us

We're on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We've been officially certified as a Great Place to Work for the third consecutive year, a reflection of our culture where everyone can thrive, innovate, and grow.

With over 2500 talented professionals, we encourage collaboration, diverse perspectives, and a solution-driven attitude. We're dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.

We offer an environment where you will be part of a team that works together to solve real-world challenges in the insurance industry. Together, we'll shape the future through innovation and continuous learning.

Job Role Overview

  • Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field; Master's degree preferred
  • Minimum of 10 years' experience in data architecture or data engineering roles, with a significant focus in P&C insurance domains preferred
  • Proven track record of successful implementation of data architecture within large-scale transformation programs or projects
  • Comprehensive knowledge of data modelling techniques and methodologies, including data normalization and denormalization practices
  • Hands-on expertise across a wide variety of database (Azure SQL, MongoDB, Cosmos), data transformation (Informatica IICS, Databricks), change data capture and data streaming (Apache Kafka) technologies
  • Proven expertise with data warehousing concepts, ETL processes, and data integration tools (e.g., Informatica, Databricks, ADF)
  • Experience with cloud-based data architectures and platforms (e.g. ADLS, Synapse, Snowflake, Azure SQL Database)
  • Familiarity with .NET Core and Python FastAPI or similar; hands-on experience preferred
  • Expertise in ensuring data security patterns (e.g. tokenization, encryption, obfuscation)
  • Familiarity with authentication and authorization methods and frameworks (e.g. OAuth 2.0)
  • Knowledge of insurance policy operations, regulations, and compliance frameworks specific to Consumer lines
  • Understanding of advanced analytics, AI, and machine learning concepts as they pertain to data architecture
  • Skilled in asynchronous programming patterns
  • Familiarity with containerization and microservices frameworks, such as Docker and Kubernetes
  • Proficient in utilizing Azure or other cloud services, including AKS, Cosmos NoSQL, Cognitive Search, SQL Database, ADLS, App Insights, and API Management
  • Familiar with DevSecOps practices and CI/CD tools, including Git, Azure DevOps, and Jenkins
  • Familiar with Kafka or similar messaging technologies
  • Familiar with GIS/geospatial systems and terminology preferred
  • Strong analytical and problem-solving capabilities
  • Experienced in producing technical documentation to support system design
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams
  • Familiarity with Agile methodologies and experience working in Agile project environments, including ceremonies and tools like JIRA

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