Senior Consultant/Assistant Manager

Overview

Key Responsibilities

• Lead the design and delivery of end-to-end data engineering solutions across multiple client engagements.
• Architect, build, and optimize scalable data platforms and data pipelines for analytics, BI, and AI use cases.
• Design and implement modern data architectures, including medallion and lakehouse patterns, across cloud and on-premise environments.
• Develop robust data models and pipelines ensuring performance, reliability, security, and governance.
• Collaborate with business stakeholders, data scientists, and analytics teams to enable AI-driven solutions.
• Support data modernization and migration initiatives, including legacy-to-cloud transitions.
• Prepare and deliver high-quality client materials including presentations, solution designs, and executive-level narratives.
• Contribute to proposal development, solution shaping, estimations, and commercial discussions.
• Coach and mentor junior team members and contribute to EY knowledge assets.

Skills And Attributes For Success

• Strong hands-on experience in SQL and Python for data engineering use cases.
• Proven expertise in data modeling, ETL/ELT development, and pipeline orchestration.
• Solid understanding of data platforms and modern engineering technologies.
• Deep knowledge of data architectures, including batch and streaming pipelines.
• Experience across cloud platforms (Azure, AWS, and/or GCP) and on-premise technologies.
• Strong understanding of data governance, quality, and security principles.
• Excellent storytelling skills, with the ability to translate technical concepts into business value.
• Strong experience preparing client presentations, business cases, and Data & AI proposals.
• Good business and commercial acumen with consulting delivery experience.