Senior Manager, Databricks Architect, AI&Data, FS

Location: Canary Wharf

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Senior Manager – Data Engineering – Databricks Architect

Financial Services

London/ Edinburgh

The opportunity
The EY Financial Services AI & Data team is continuing to grow and develop unique advisory propositions aligned to market needs and demand. We are currently looking for an exceptional Senior Manager to lead on developing our Data Engineering Capability with an initial focus on Databricks. This is a senior architecture role and will require an individual with an exceptional track record of delivering data transformation programs in the Financial Services sector.
  
The AI & Data practice works collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. We provide expertise and delivery in three core areas which all work closely together:

Data Architecture & Engineering – Focusing on next generation data solution architecture design and implementation

Data Management & Strategy – Supporting our clients with Data Strategy, Data Governance Data and Analytics Target Operating Model Design and wider Data Office and CDO support functions

Data Science and Information Analysis - Working with our clients to design build and integrate Machine Learning and AI solutions into their core business platforms and processes to drive greater insight and increased process efficiency and automation. We also help them design and implement modern data visualisation and reporting solutions

Your key responsibilities

Lead the design and implementation of scalable data architecture solutions using Databricks on Azure.

Architect and optimize data pipelines for structured and unstructured financial data, ensuring performance, reliability, and compliance.

Demonstrate prior experience in standing up and operationalizing Databricks platforms, including workspace setup, cluster configuration, and CI/CD integration.

Lead and execute large-scale lift-and-shift data migrations from legacy platforms to Databricks, ensuring minimal disruption and high data fidelity.

Collaborate with cross-functional teams to align data architecture with financial regulations (e.g., GDPR, Basel III, MiFID II).

Drive adoption of Delta Lake, Apache Spark, and MLflow for advanced analytics and machine learning use cases.

Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance.

Establish best practices for data governance, lineage, and metadata management within the Databricks environment.

Translate business needs into robust data products that support real-time decision-making and predictive modeling.

Lead performance tuning, cost optimization, and security hardening of Databricks on Azure.

To qualify for the role, you must have

A track record of delivering large Databricks data transformations & appropriate Databricks industry certifications

A deep understanding of Financial Services to develop the right AI, Data and Analytics solutions to meet their needs

Experience of building high performing teams and exceptional leadership and interpersonal skills

Deep understanding of the emerging technology trends including adoption of cloud-based technologies and advance data technologies with a clear perspective on where the market is going.

Ability to successfully deliver across multiple engagements, exceed client expectations, manage commercial aspects and manage quality and risk

Ability to engage with senior stakeholders and manage large cross functional projects

In…