Lead Data Engineer

Job highlights

• Define data ingestion,transformation,and serving patterns for batch and nearreal-time use cases

• Establish reusable frameworks,libraries,and reference architectures. Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users

  Lead Data Engineer

Role Focus: Cloud Data Platform / Lakehouse

Location: Pune (Hybrid/Onsite as applicable)

Experience Range: 10+ years in modern cloud data platforms

Industry Preference: Banking / Financial Services

Role Overview    

We are seeking a Lead Data Engineer to design, build, and own a modern cloud-based data platform (Lakehouse architecture) that supports enterprise analytics, reporting, and advanced use cases such as risk, fraud, AML, and customer analytics.

This role combines deep technical expertise, platform thinking, and engineering leadership . You will play a key role in shaping data architecture, enabling reliable and scalable data pipelines, enforcing governance and data quality, and partnering closely with analytics, modeling, and business teams.

Key Responsibilities 1. Platform & Architecture Leadership    

• Design and evolve a cloud-native Lakehouse architecture using Spark-based technologies (e.g., Databricks or equivalent).
• Define data ingestion, transformation, and serving patterns for batch and nearreal-time use cases.
• Make architectural decisions around storage, compute separation, metadata, and cost optimization .
• Establish reusable frameworks, libraries, and reference architectures.

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.