Job Description

Your Role

Role:Data Engineering Lead
Experience:9 to 13 years
Location:Gurguram
Notiece period : Upto 60 days
As a Data Engineering Lead, you will own the end-to-end data engineering strategy that powers enterprise analytics and AI capabilities. You will lead the design and evolution of scalable, secure, and high-performance data platforms while ensuring data is reliable, governed, and ready for advanced use cases such as machine learning and agentic AI systems.

In this role, you will:

 

• Architect and implement modern, scalable data pipelines supporting batch, streaming, and real-time ingestion.
• Define and institutionalize data modeling best practices for analytical, AI, and retrieval-ready datasets.
• Build and enforce robust data quality frameworks ensuring high trust in data across systems.
• Drive performance optimization initiatives across ingestion, transformation, and storage layers.
• Establish strong data governance, access control, classification, and compliance mechanisms.
• Lead technical decision-making for large-scale data platform architecture.
• Mentor and grow a high-performing data engineering team, fostering engineering excellence and ownership.
• Collaborate cross-functionally with ML, RAG, MLOps, Security, and Product teams to deliver impactful data solutions.
• Continuously evaluate and adopt new technologies to improve data platform capabilities and efficiency.

Your Profile

 

• Proven experience leading data engineering teams in complex, enterprise-scale environments.
• Strong expertise in distributed data systems, ETL/ELT frameworks, and modern data architectures (lakehouse, medallion, etc.).
• Deep understanding of data modeling, schema design, and transformation patterns for analytics and AI.
• Hands-on experience with data quality frameworks, observability, and validation systems.
• Strong background in performance tuning, cost optimization, and system reliability engineering.
• Experience implementing data governance, security, and regulatory compliance practices.
• Proficiency in cloud-based data platforms (e.g., Azure, AWS, or GCP) and associated tooling.
• Excellent communication skills with the ability to influence technical and non-technical stakeholders.
• Strong leadership mindset with a focus on mentoring, collaboration, and continuous improvement.

What You’ll Love About Working Here

 

• Opportunity to lead and shape next-generation data platforms powering AI and analytics at scale.
• Work on cutting-edge technologies including AI-ready data systems, RAG pipelines, and intelligent automation.
• Collaborative environment with highly skilled teams across data, AI, and product engineering.
• Strong focus on innovation, engineering excellence, and continuous learning.
• Flexible work culture that supports work-life balance and professional growth.
• Visibility and impact — your work directly influences critical business decisions and AI capabilities.

About Us

We are a forward-thinking organization focused on building intelligent, data-driven platforms that enable scalable analytics and advanced AI capabilities. Our mission is to unlock the full potential of enterprise data by combining engineering excellence, strong governance practices, and cutting-edge AI technologies. We foster a culture of innovation, collaboration, and continuous improvement, empowering teams to solve complex challenges and deliver meaningful impact.