Lead Data Architect

3 days ago


Agra, Uttar Pradesh, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

About us

We are a global leader in insurance, operating in 54 countries and territories. Our commercial and personal property and casualty insurance products cater to diverse groups of clients. We have an extensive product and service offering, broad distribution capabilities, exceptional financial strength, and local operations worldwide.

Our company is defined by its commitment to engineering excellence and analytics. We are on an exciting journey of digital transformation, fostering an environment where everyone can thrive, innovate, and grow. With a team of over 2500 talented professionals, we encourage collaboration, diverse perspectives, and a solution-driven attitude.

At our organization, you will be part of a team dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.

Job Overview

The Lead Data Engineer-Solution Architecture role involves leading impactful initiatives that simplify claims processing and enhance customer satisfaction. You will work alongside experienced professionals in a collaborative, innovation-driven environment.

  • This position requires a Bachelor's degree in Computer Science, Information Systems, or a related field; a Master's degree is preferred.
  • Minimum of 10 years' experience in data architecture or data engineering roles, with a significant focus in P&C insurance domains preferred.
Key Responsibilities
  • 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 technologies, data transformation tools, change data capture and data streaming platforms.
Required Skills and Qualifications

Skills:

  • Advanced analytics, AI, and machine learning concepts as they pertain to data architecture.
  • Expertise in ensuring data security patterns, such as tokenization, encryption, and obfuscation.
  • Knowledge of insurance policy operations, regulations, and compliance frameworks specific to Consumer lines.
Benefits

Our comprehensive benefits package includes:

  • 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.
Application Process

Our transparent and inclusive recruitment process involves:

  • Step 1: Submit your application via the Chubb Careers Portal.
  • Step 2: Engage with our recruitment team for an initial discussion.
  • Step 3: Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable).
  • Step 4: Final interaction with leadership.


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