Data Analytics & AI - Databricks Platform Architect - Senior Manager

Data Analytics & AI – Databricks Platform Architect – Senior Manager

 

General Information
Location: Ireland - Dublin / Cork / Limerick / Galway 
Available for Work Visa Sponsorship: Yes
Business Area: EY Data, Analytics & AI Ireland
Contract Type: Full-Time – Permanent

 

EY exists to build a better working world, we empower our people by offering the culture, tech, teams, scale, 
challenges, learning, and the relationships for you to personalise and build your career, helping to create longterm value for clients, people and society and build trust in the capital markets. 
This role can be located in our offices across the Republic of Ireland, working across assurance, consulting, law, 
strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing 
our world today. 

 

The Team and the opportunity

 

As part of our Data Analytics and AI team, the Databricks Platform Architect role is pivotal in enabling our 
clients to derive significant value from their information assets. Through collaboration and domain expertise, 
our team embeds innovative data analytics solutions into existing business areas, transforming data into 
strategic assets. We are looking for a Databricks Platform Architect specialist who is passionate about 
leveraging data to solve complex problems and drive business outcomes.

You will play a key role in driving growth by developing new and existing client relationships and delivering 
first-class customer experience on high-profile engagements.
The Data Analytics and AI team serve as trusted advisors, both practical and innovative, to embed innovative 
data analytics solutions into existing business areas and transforming data into strategic assets.

Working across all industries, you’ll develop your career by communicating creative, strategic goals both 
internally and externally. As a senior manager, the opportunity to assess and improve our clients’ reporting 
policies and corporate governance processes will impact these ever-challenging areas during transformational 
and regulatory changes. 

Your Key Responsibilities
 

• Leading diverse teams with varying skillsets, who use different Data and Analytics technologies.
• Adapting your leadership style to fit team, client, and cultural needs, they will look to you to 
anticipate and identify risks and escalate issues as appropriate.
• As an influential member of the team, you’ll create a positive learning culture and will coach and 
counsel junior members of the team sharing best practices, industry trends and technical knowledge 
to foster professional growth and development.
• Engage with clients to understand their business requirements, data needs, and technical objectives, 
and develop data architecture strategies that align with their goals.
• Lead the design and implementation of data artefacts, including data modelling, data integration, 
data storage, and data governance based on industry best practices and client-specific requirements.
• Hands-on experience on data modelling techniques to create Enterprise Data Models
• Implementing data management concepts (Metadata Management, Data Quality, Data Testing)
• Conduct assessment of existing data architectures, identify areas of improvement, and recommend 
remediation plans to optimise data management process and systems.
•  Develop data migration strategies and oversee the execution of data migration activities, ensuring 
data integrity and minimal disruption to client operations.

To qualify for the role, you must have.
 

• Strong academic record including a bachelor’s or master’s degree in computer science, Information 
Systems, or a related field.
• Proven experience, 7 years as a Data Architect, Data Solutions Architect, or similar role in a consulting 
environment.
• Strong hands-on experience on various cloud services like ADF/Lambda, ADLS/S3, Security, 
Monitoring, Governance & Compliance.
• Hands-on Experience to design platform and build Databricks based solution on any cloud platform as 
well as design and build solution powered by DBT models and integrate with databricks.
• Must have good:
→ End-to-End design solution on cloud platform.
→ Knowledge of Data Engineering concept and related services of cloud.
→ Experience in Python and Spark and setting up d