Digital Factory - Engineering Manager - Assistant Director

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The Data Engineering Manager - Assistant Director supports multiple teams across the Digital Factory in a matrix setup, with a focus on data engineering practices and solutions.

The role is responsible for guiding teams on architecture, technology standards and engineering practices, while contributing hands-on to the design and implementation of data solutions using platforms such as Microsoft Fabric and Databricks.

The position works closely with delivery, architecture, and business teams to ensure consistency, quality and reuse across data initiatives.

Key Responsibilities

Engineering Mentorship & Capability Building

Mentor and coach engineers across multiple teams on data engineering practices, architecture, and delivery quality

Support technical decision-making and problem solving in complex data initiatives

Raise overall engineering maturity on:

Data pipelines (ETL / ELT)

Lakehouse architectures

Spark / Databricks / Fabric usage

Promote a hands-on engineering mindset and craftsmanship culture

Architectural Alignment & Guardrails

Ensure all data solutions align with Digital Factory architecture principles and guardrails

Guide teams on:

Data architecture patterns (lakehouse, data mesh, etc.)

Platform usage (Fabric, Databricks, Azure services)

Act as bridge between Architecture and Delivery teams

Challenge and validate technical design decisions when needed

Technology Standards & Best Practices

Define and enforce engineering standards for data platforms, including:

Data modeling approaches (dimensional / analytical)

Pipeline design and orchestration

CI/CD and DataOps practices

Standardize reusable components, templates, and practices

Ensure consistency across teams working on different projects

Hands-on Contribution

Actively contribute to design and implementation of data solutions, especially in complex or critical topics

Support teams in:

Building scalable data pipelines (Fabric, Databricks, Spark)

Optimizing performance and cost

Troubleshooting complex technical issues

Lead by example with a strong hands-on engineering approach

Cross-Team Coordination

Work across multiple project teams to ensure consistency and reuse

Collaborate with:

Architecture

Project / Business leads

Data / AI engineers

Facilitate knowledge sharing and alignment across initiatives

Platform & Reuse

Encourage reuse via shared libraries, components, and templates; maintain documentation for architecture decisions and reusable assets.

Qualifications

• Required

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

• Demonstrated experience leading software engineering teams as an Engineering Manager or Senior Tech Lead, delivering production systems in data domains.

• Strong experience in data engineering and platform delivery

• Proven experience as:

• Senior Data Engineer / Lead

• OR Engineering Manager in data context

• Hands-on expertise in:

• Microsoft Fabric or Azure Data Platform

• Databricks (Spark, Delta Lake)

• Data pipelines, lakehouse architectures

• Strong understanding of data architecture, governance, and platform design

• Ability to influence teams in a matrix organization (without direct authority)

• Preferred

• Experience in consulting / Digital Factory / multi-project environments

• Exposure to data governance frameworks and enterprise architecture

• Familiarity with AI/analytics data use cases

• Tools & Technologies

• Microsoft Fabric (OneLake, Data Factory, Notebooks)

• Azure Databricks (Spark, Delta Lake)

• Azure Data Services (ADF, Synapse, SQL)

• Python, SQL

• CI/CD (Azure DevOps)

• Data governance & observability tooling

What we offer you

• At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

• Are you ready to shape your future with confidence? Apply today.

• To help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need.

• EY | Building a better working world

• EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

• Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

• EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

• Our offer of employment is contingent upon the successful completion of a background check and pre-screening requirements. The candidate acknowledges that all i nformation provided must be accurate.