Visionary Lead Data Architect

4 days ago

Palakkad, Kerala, India beBeeData Full time ₹ 30,00,000 - ₹ 40,00,000
Job Title:

Lead Data Engineer-Solution Architecture

Job Description:

About Us

At Chubb, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We have 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.

We are proud to share that we have a team of over 2500 talented professionals who encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are 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 an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.

Role Overview:
  • 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
Responsibilities:

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.

Requirements:
  • 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
Benefits:
  • Savings and Investment plans: Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease
  • Upskilling and career growth opportunities: Education Reimbursement Programs, Certification programs and access to global learning programs
  • Health and Welfare Benefits: Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits

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