Technical Delivery Lead

EXL; Maharashtra; On-site; INR 3,800,000 - 6,400,000; Full time

Job summary

EXL is seeking a Technical Lead for Data Engineering & Data Platforms to steer enterprise data transformations. You will lead data engineering, cloud and AI-enabled solutions, design scalable architectures, mentor teams, and engage with clients to deliver high-impact outcomes.

The ideal candidate has 12+ years in data engineering and a proven track record in leading delivery, governance, and modern data platforms across lakehouse, data lakes, and warehouses.

Qualifications

• 12+ years in Data Engineering, Data Platforms, cloud technologies, AI-enabled data solutions and enterprise architecture.
• 4+ years in a Technical Leadership role with team management and delivery ownership.

Responsibilities

• Provide technical leadership across Data Engineering, Cloud, AI, and enterprise data platform initiatives.
• Lead, mentor, and guide engineering teams to ensure high-quality delivery and capability development.
• Drive client engagement by understanding business priorities and communicating technical solutions clearly.
• Collaborate with cross-functional teams including stakeholders, architects, product owners, and delivery leadership.
• Design and review scalable, secure data architectures, lakehouse platforms, and cloud data solutions.
• Support data cataloging, metadata management, governance, and data quality across platforms.
• Evaluate AI/ML features and automation to improve platform efficiency and outcomes.
• Drive best practices in DevOps, CI/CD, performance optimization, and engineering excellence.
• Participate in technical assessments, reviews, and capability-building for Data Engineering roles.

Skills

Databricks

Snowflake

AWS/Azure/GCP

Spark

PySpark

Python

SQL

Data modeling

Data cataloging

Metadata management

Data governance

ETL/ELT pipelines

Lakehouse

Data Lakes

Data Warehouses

Orchestration workflows

AI/ML concepts

GenAI-enabled data solutions

Automation

Team leadership

Stakeholder management

Client engagement

Communication

Problem-solving

Job description

Job Title: Technical Lead – Data Engineering & Data Platforms

Experience

• 12+ years of overall experience in Data Engineering, Data Platforms, Cloud Technologies, AI-enabled data solutions, and enterprise architecture.
• 4+ years of experience in a Technical Leadership role, including team management, mentoring, delivery ownership, and stakeholder collaboration.

Role Summary

We are looking for a highly experienced Technical Lead with strong expertise in Data Engineering, AI-enabled data solutions, cloud platforms, data modeling, and data cataloging. The role requires strong technical leadership, team management, and client engagement skills to support enterprise data transformation initiatives. The individual will work closely with clients, leadership, architects, and cross-functional teams to drive solution design, delivery excellence, technology governance, and engineering best practices.

Key Responsibilities

• Provide technical leadership across Data Engineering, Cloud, AI, and enterprise data platform initiatives.
• Lead, manage, mentor, and guide engineering teams to ensure high-quality delivery and continuous capability development.
• Drive effective client engagement by understanding business priorities, managing expectations, communicating technical solutions clearly, and ensuring timely resolution of concerns.
• Collaborate with cross-functional teams including business stakeholders, architects, product owners, engineering teams, governance teams, and delivery leadership.
• Design and review scalable, secure, and cost-effective data architectures, data models, lakehouse platforms, and cloud-based data solutions.
• Support data cataloging, metadata management, data governance, data quality, and compliance practices across enterprise data platforms.
• Evaluate and implement AI/ML-enabled features, automation opportunities, and intelligent data engineering practices to improve platform efficiency and business outcomes.
• Drive best practices in Data Engineering, Cloud, Data Architecture, DevOps, CI/CD, performance optimization, and engineering excellence.
• Participate in technical assessments, solution reviews, interviews, and capability-building initiatives for Data Engineering roles.

Required Skills

• Strong hands-on expertise in Databricks and Snowflake.
• Strong experience with AWS, Azure, or GCP cloud platforms.
• Strong knowledge of Spark, PySpark, Python, SQL, and large-scale data processing frameworks.
• Experience in data modeling, data cataloging, metadata management, data governance, and enterprise data management practices.
• Experience building Data Lakes, Data Warehouses, Lakehouse platforms, ETL/ELT pipelines, and orchestration workflows.
• Understanding of AI/ML concepts, GenAI-enabled data solutions, automation use cases, and AI-driven engineering practices.
• Strong team management, stakeholder management, client engagement, communication, and problem-solving skills.

Preferred Skills

• Experience in Banking and Capital Markets, or Financial Services domain.
• Exposure to data security, regulatory compliance, risk controls, and enterprise governance frameworks.
• Experience supporting hiring, technical evaluations, competency development, and engineering capability improvement initiatives.

Key Attributes

• Strong technical depth across modern data, cloud, AI, and enterprise architecture ecosystems.
• Proven leadership experience in managing teams, driving delivery excellence, and building high-performing engineering capabilities.
• Excellent client-facing communication skills with the ability to manage expectations professionally and build trusted relationships.
• Ability to work effectively with cross-functional teams and influence stakeholders across technical and business groups.
• Strategic thinker with a hands-on technical mindset and strong ownership of outcomes.