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- Tasks: Lead the design and implementation of innovative data solutions using Databricks.
- Company: Join EY, a global leader in assurance and advisory services.
- Benefits: Competitive salary, flexible working, and career development opportunities.
- Why this job: Make a real impact in the financial services sector with cutting-edge technology.
- Qualifications: Proven experience in Databricks and strong leadership skills required.
- Other info: Dynamic team environment with a focus on personal growth and inclusivity.
The predicted salary is between 54000 - 84000 £ per year.
Location: London
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.
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 advanced 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.
- Intellectual strength / flexibility to rapidly understand complex problems and rationalise these into workable solutions which can then be delivered.
- Exceptional storytelling, communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients.
- Previous consulting experience will be greatly valued.
- A university degree, 2:1 (or equivalent) or above is usually preferred, however we would be open to outstanding candidates who may have followed an alternative academic path.
What we look for:
We are looking for highly motivated individuals who are passionate about AI, Data and Analytics and want to assist clients to become truly data driven organisations. If you think you can meet the challenges of a focused consulting organisation, understand how to grow and lead in a large practice and work in the most complex of sectors our AI & Data team is looking forward to hearing from you.
What working at EY offers:
We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions.
Plus, we offer:
- Support, coaching and feedback from some of the most engaging colleagues around.
- Opportunities to develop new skills and progress your career.
- The freedom and flexibility to handle your role in a way that’s right for you.
About EY:
As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now.
EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities.
Senior Manager, Databricks Architect, AI&Data, FS in City of London employer: Ernst & Young Advisory Services Sdn Bhd
Contact Detail:
Ernst & Young Advisory Services Sdn Bhd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager, Databricks Architect, AI&Data, FS in City of London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. The more you engage with others, the better your chances of hearing about job openings before they hit the market.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those related to Databricks and data engineering. This will give potential employers a clear view of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by researching common questions in your field and practicing your responses. Be ready to discuss your past projects and how they relate to the role at EY. Confidence is key, so practice makes perfect!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance of landing that interview. It shows you're serious about joining EY and helps us keep track of your application more efficiently.
We think you need these skills to ace Senior Manager, Databricks Architect, AI&Data, FS in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Manager role. Highlight your experience with Databricks and data transformation in the Financial Services sector. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit. Share specific examples of your past successes and how they relate to the responsibilities outlined in the job description. Let your personality shine through!
Showcase Your Leadership Skills: Since this is a senior role, we’re keen to see your leadership experience. Mention any teams you've led or projects you've managed, especially those that involved cross-functional collaboration. We love a good team player!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at EY!
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨Know Your Databricks Inside Out
Make sure you’re well-versed in Databricks and its functionalities. Brush up on your knowledge of data pipelines, workspace setup, and CI/CD integration. Being able to discuss your hands-on experience with these tools will show that you’re not just familiar with the theory but can apply it practically.
✨Showcase Your Financial Services Expertise
Since this role is focused on the Financial Services sector, be prepared to discuss how your previous experiences align with industry regulations like GDPR and Basel III. Highlight specific projects where you’ve successfully navigated these complexities, as this will demonstrate your ability to deliver tailored solutions.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of data architecture. Practice articulating your thought process clearly when tackling complex scenarios. This will help interviewers see your analytical capabilities and how you approach challenges.
✨Engage with Storytelling
Use storytelling to convey your past experiences effectively. Share specific examples of how you led teams or managed large-scale projects, focusing on the impact of your contributions. This not only makes your answers more memorable but also showcases your leadership and communication skills.
