LEAD DATA ENGINEER

Vrinda International; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Vrinda International invites a Lead Data Engineer to Bangalore for shaping scalable AI-ready data platforms. You will design data pipelines, governance models, and semantic layers while ensuring reliability and cost efficiency in a hybrid India-based setup.

The role emphasizes data orchestration, cloud optimization, and collaboration with stakeholders to translate business needs into robust technical solutions. Experience with agentic AI is valued.

Qualifications

• 8–12 years of experience in data engineering or related roles.
• Experience designing AI-ready data platforms and governance frameworks.
• Proficiency in building scalable data pipelines with real-time and batch processing.
• Strong understanding of data modeling, quality and reliability.

Responsibilities

• Design and build scalable AI-ready data solutions.
• Develop semantic layers and data models.
• Ensure data quality, governance and reliability.
• Enable ML and Agentic AI capabilities.
• Drive cloud cost and platform optimization.
• Build real-time and batch data pipelines.
• Implement DataOps, CI/CD and orchestration.
• Collaborate with business and technology stakeholders.
• Translate business needs into scalable technical solutions.
• Ensure platform stability, SLA adherence and long-term sustainability.

Skills

Big Data

Modern Data Eng

Kafka

Kinesis

Event Hub

Dataflow

Airflow

Astronomer

Data Modeling

Data Quality

Reliability

Agentic AI

LLMs

Orchestration

Tools

Kafka

Kinesis

Event Hub

Dataflow

Airflow

Astronomer

Job description

Bangalore | Hybrid, India | Posted on 08/20/2026

Job Description

HIRING | LEAD DATA ENGINEER

Experience: 8–12 Years

CTC: Up to ₹25 LPA

ROLE OVERVIEW

We are looking for a Lead Data Engineer to design and manage scalable, AI-ready data platforms and products. The role focuses on data engineering, governance, reliability, cloud optimization and enabling ML/Agentic AI capabilities.

MUST-HAVE SKILLS

• Big Data & Modern Data Engineering
• Kafka / Kinesis / Event Hub / Dataflow
• Apache Airflow / Astronomer
• Data Modeling, Quality & Reliability
• Agentic AI / LLM Integrations & Orchestration

KEY RESPONSIBILITIES

• Design and build scalable AI-ready data solutions
• Develop semantic layers and data models
• Ensure data quality, governance and reliability
• Enable ML and Agentic AI capabilities
• Drive cloud cost and platform optimization
• Build real-time and batch data pipelines
• Implement DataOps, CI/CD and orchestration
• Collaborate with business and technology stakeholders
• Translate business needs into scalable technical solutions
• Ensure platform stability, SLA adherence and long-term sustainability