Data Architect - Life Science - Manager- Consulting

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

Location:

Anywhere in Country

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 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.

This is a high‑growth area and a high‑visibility role with plenty of opportunities to enhance your skill set and build your career.

• Design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape.
• Help clients navigate the complex world of modern data science, analytics, and software engineering.
• Provide guidance and perform technical development tasks to ensure data‑science solutions are properly engineered and maintained to support ongoing business needs.
• Manage delivery of one or more processes, solutions, and projects focusing 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 clients’ objectives.
• Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross‑functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
• 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:
  Applications integration with third‑party vendor SaaS applications.
• Cloud computing architecture.
• Data architecture design and platform modernization.
• Implement data integration best practices.
• Develop standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis.
• Interact with senior client technology leaders, understand their business goals, create, architect, propose, 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.
• Experience with BI and data analytics databases.
• Experience converting business problems/challenges to technical solutions considering security, performance, scalability, etc.
• Knowledge in 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 working experience in Data Architecture/Engineering.
• 2‑4 years of experience directly managing technical teams.
• At least 2 years working in life‑science domains (Clinical (R&D) and Commercial), developing solutions for life‑science challenges.
• Flexible and proactive/self‑motivated working style with strong personal ownership of problem resolution.
• Excellent written and verbal communication skills.
• Ability to multi‑task under…