Data Analytics & AI - Databricks Platform Architect - Senior Manager

at  EY

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 development best practices.
• Knowledge of docker and Kubernetes.
• Experience with claims-based authentication (SAML/OAuth/OIDC), MFA, RBAC, SSO etc.
• Knowledge of cloud security controls including tenant isolation, encryption at rest, encryption in transit, key management, vulnerability assessments, application firewalls, SIEM, etc.