Technical Delivery Lead
About the Role
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 Skills for This Role
Full Job Posting
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.
- 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.
- 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.
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.
About EXL
EXL is a global data and AI company that provides analytics, digital operations, and industry-specific services to enterprises in insurance, healthcare, banking, retail, media, and energy.
Visit company websiteApply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at EXL
Data Scientist- GenAI Engineer
Noida, IND
We are seeking an experienced Data Scientist with deep expertise in Generative AI and Python to design, develop, and deploy advanced AI models that drive innovation and deliver impactful solutions. This role involves wor
Senior Executive - Claims Audit
Chennai, IND
Senior Executive- Claims Analyst is responsible for reviewing and analyzing medical records and claims to ensure accuracy, completeness, and compliance with regulatory standards. This role involves summarizing medical do
Associate - Business Analyst
Noida, IND
Identify F&A automation opportunities in client environment and able to perform end to end automation operations Core Alteryx + Power BI and Tableau developer with at least 4 years of experience in creating dynamic wor
Executive
Pune, IND
This role is primarily responsible for dealing with customer calls as per the SLAs outlined by the client
Senior Executive
Bengaluru, IND
Generate and process customer invoices in accordance with contractual terms and billing schedules. Review billing inputs for completeness, accuracy, and compliance with client requirements. Submit invoices through custom
Alteryx Developer
Noida, IND
Role • Band B1/B2 level resources for EXL Digital Analytics team to be based out of Noida (SEZ), Gurgaon, Bangalore, Pune • Supports Analytics solutions team in ramping up F&A analytics and reporting practice • Front-end
Data Scientist- GenAI Engineer
Noida, IND
Senior Executive - Claims Audit
Chennai, IND
Associate - Business Analyst
Noida, IND
Executive
Pune, IND
Senior Executive
Bengaluru, IND
Senior Executive
Bengaluru, IND
Senior Associate
Bengaluru, IND
Alteryx Developer
Noida, IND