Data Architect - Life Science - Manager- Consulting

Data Architect – Life Science – Manager – Consulting – Location OPEN

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.

EY delivers unparalleled tech consulting services in data strategy, business intelligence, digital, machine learning and Artificial Intelligence. We support and enable big ideas, always with the ambitions to keep doing more.

EY is seeking a Data Architecture Manager with a strong understanding of data and technology within the Life Sciences (Clinical (R&D) and Commercial) sector, complemented by a solid track record of delivery. This individual will spearhead the design, development, and governance of our clients’ data architectures, ensuring scalable, effective, and secure data solutions that align with business objectives and support data imperatives.

You will have the opportunity to lead and develop your skill set to keep up with the ever‑growing demands of the modern data platform. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.

As a Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non‑technical project teams in the development and implementation of cutting‑edge technology solutions and infrastructure.

• Design and build scalable solutions for life sciences clients that unify, enrich, and derive insights from varied data sources across a broad technology landscape.
• Provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.
• Manage and deliver one or more processes, solutions, and projects with a focus on quality and effective risk management.
• Drive continuous process improvement and identify innovative solutions through research, analysis, and best practices.
• Apply depth of expertise to guide others and interpret internal/external issues to recommend quality solutions.

• Collaborate with cross‑functional teams (Business Leads, Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients’ objectives.
• Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross‑functional partners.
• Design and build solutions on AWS, Databricks, Snowflake.
• Design conceptual, logical, and physical layers of a data solution.
• Conduct data design reviews, striving for improved usability and efficiency.
• Design blueprints for data extraction and basic transformations.
• Participate in presentations and proposals for highly complex projects.
• Technical skills: integration with third‑party vendor SaaS applications, cloud computing and architecture, data architecture design and platform modernization, data integration best practices, standardized practices for delivering new products and capabilities using Big Data technologies.
• Interact with senior client technology leaders, understand their business goals, and develop and deliver technology solutions.
• Define and develop client‑specific best practices around data management within a Hadoop or cloud environment.
• Recommend design alternatives for data ingestion, processing, and provisioning layers.
• Experience in enterprise‑grade solution implementations, BI, and data analytics databases.
• Experience converting business challenges to technical solutions considering security, performance, scalability.
• Knowledge of Big Data architecture patterns (Lambda, Kappa).
• Experience in performance benchmarking enterprise applications.
• Experience in data security (on the move, at rest).

• Bachelor’s degree and 10‑15 years of full‑time…