Delivery Lead

Role Overview

We are seeking a Delivery Lead to lead the end-to-end delivery of data platforms and web-based data solutions. This role blends hands-on data engineering expertise with strong delivery ownership and people leadership.

The ideal candidate will manage a cross-functional team of 7–9 engineers (Data Engineers, DevOps Engineers, and Full-Stack Developers), work closely with onshore Solution Architects, and act as the primary bridge between business stakeholders and technical execution.

Key Responsibilities & Day-to-Day Expectations

Delivery & Technical Leadership

· Own end-to-end delivery of data engineering and data-driven web solutions

· Design, build, and maintain scalable, reliable data pipelines and data architectures

· Provide hands-on technical guidance and architectural oversight when required

· Ensure performance, data quality, reliability, and scalability of data systems

· Drive best practices in coding, testing, documentation, deployment, and monitoring

Team Leadership & People Management

· Lead, mentor, and manage a team of 7–9 engineers including:

o Data Engineers

o DevOps Engineers

o Full-Stack Developers

· Conduct task planning, sprint execution, reviews, and performance feedback

· Ensure efficient collaboration across engineering roles

Stakeholder & Client Collaboration

· Work closely with business stakeholders to translate requirements into technical solutions

· Coordinate with Onshore Solution Architects for solution design, alignment, and delivery

· Act as the primary point of contact for delivery status, risks, and dependencies

· Support engagement planning, delivery commitments, and execution timelines

DevOps & Platform Excellence

· Collaborate with DevOps to implement CI/CD pipelines and automation strategies

· Optimize workflows for cost, performance, and operational efficiency

· Support containerized and cloud-native deployments

Required Technical Skills

Core Data Engineering Skills

· Strong hands-on coding experience in Python and SQL

· Solid experience designing and building data pipelines and data platforms

· Proficiency in Teradata SQL with strong query optimization skills

· Hands-on experience with PySpark for large-scale data processing

· Strong understanding of ETL / ELT concepts and data warehousing principles

Cloud & Platform Skills

· Experience with AWS, including services such as:

o S3

o EMR

o Glue

o Lambda

o Redshift

· Familiarity with DevOps practices and CI/CD tooling

· Knowledge of Docker and Kubernetes for containerization and orchestration

Functional Skills

· Experience is supporting and delivering data-driven web applications

· Exposure to modern data architecture patterns (lakehouse, microservices, event-driven systems)

· Experience working in global delivery models with onshore/offshore coordination

Domain & Project Experience

· Experience delivering enterprise-scale data platforms or analytics solutions

· Prior exposure to projects involving:

o Large datasets

o Performance optimization

o Multi-stakeholder delivery environments

· Comfortable managing delivery in fast-paced, client-facing engagements

Team Size & Stakeholder Interaction Summary

· Team Size: 7–9 engineers (could expand)

· Direct Interaction With:

o Business stakeholders

o Onshore Solutions Architect

o Product owners and client representatives

· Role Nature: Mix of delivery leadership, technical oversight, and people management