Data Architect - Life Science - Manager- Consulting

Data Architect – Life Sciences – 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 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 skillset and build your career.

• Design and build scalable solutions for life sciences clients 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 and deliver one or more processes, solutions, and projects with focus on quality and risk management.
• Drive continuous process improvement and identify innovative solutions through research, analysis, and best practices.
• Guide others and interpret internal/external issues to recommend quality solutions.

• Collaborate with cross‑functional teams (Business Leads, Data Scientists, Business Analysts, IT teams) to define data requirements, design solutions, and implement data strategies.
• Organize and lead workshops and design sessions with stakeholders to capture requirements and align on data architecture strategies.
• Design and build solutions on AWS, Databricks, Snowflake.
• Design conceptual, logical, and physical layers of a data solution.
• Conduct data design reviews to improve usability and efficiency.
• Design blueprints for data extraction and basic transformations.
• Participate in presentations and proposals for highly complex projects.
• Expertise in applications integration with third‑party SaaS, cloud computing architecture, data architecture design, platform modernization.
• Implement data integration best practices and develop standardized practices for delivering new products and capabilities using Big Data technologies.
• Interact with senior client technology leaders to understand business goals and deliver solutions.
• Define and develop client‑specific best practices around data management within Hadoop or cloud environments.
• Recommend design alternatives for data ingestion, processing, and provisioning layers.
• Experience in enterprise‑grade solution implementations, BI, and data analytics databases.
• Convert business problems 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 (data at rest, data in transit).

• Bachelor’s degree and 10-15 years of full‑time experience in Data Architecture/Engineering.
• 2-4 years of experience directly managing technical teams.
• At least 2 years working in the life sciences domains (Clinical R&D and Commercial).
• Flexible, proactive, self‑motivated working style with strong ownership.
• Excellent written and verbal communication skills.
• Ability to multitask under pressure and work independently with minimal supervision.
• Team player who enjoys cooperative and collaborative environments.
• Adaptable to new technologies and standards.
• Participate in all aspects of AI and Data solution delivery lifecycle.

• Experience building and managing relationships, client trust, commercial astuteness.
• Client communication skills with impact and digital fluency.
• Experience with Snowflake and Databricks.
• Leadership and mentorship experience.
• P…