Data Architect - Life Science - Manager- Consulting

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

At EY, we shape your future with confidence. We help you succeed in a globally connected powerhouse of diverse teams and give your career the momentum it deserves.

We are 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.

• Design and build scalable solutions for life sciences clients that unify, enrich, and derive insights from varied data sources across a broad technology landscape.
• Guide 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, focusing on quality and risk management.
• Drive continuous process improvement and identify innovative solutions through research, analysis, and best practices.
• Collaborate with cross‑functional teams (Business Leads, Data Scientists, Analysts, and IT) to define data requirements, design solutions, and implement data strategies.
• Organize and lead workshops and design sessions with stakeholders, capturing requirements, use cases, personas, and business processes.
• Build solutions on AWS, Databricks, and Snowflake; design conceptual, logical, and physical data layers.
• Conduct data design reviews, striving for improved usability and efficiency.
• Develop blueprints for data extraction and basic transformations.
• Participate in presentations and proposals for highly complex projects.
• Implement data integration best practices and secure, scalable architectures.
• Interact with senior client technology leaders to propose, develop, and deliver technology solutions.
• Define and develop client‑specific best practices around data management in Hadoop or cloud environments.
• Recommend design alternatives for data ingestion, processing, and provisioning layers.

• Experience leading technical teams (2–4 years).
• At least 2 years working in life‑sciences domains.
• Strong communication skills (written and verbal).
• Ability to multi‑task under pressure and work independently.
• Proactive, self‑motivated with strong personal ownership of problem resolution.
• Community‑building skills: fostering an inclusive team environment.
• Adaptability to new technologies and standards.

• Bachelor’s degree and 10–15 years of full‑time experience in Data Architecture/Engineering.
• 10–15 years’ experience delivering data architecture solutions.
• Experience with AWS, Databricks, Snowflake, and other data platforms.
• Experience with data integration, ETL, and data pipeline design.
• Knowledge of data security (in‑transit and at‑rest).
• Experience with Hadoop and cloud environments.
• Experience converting business problems to technical solutions, considering security, performance, scalability.
• Experience with business intelligence and data analytics databases.
• Knowledge of big‑data architecture patterns (Lambda, Kappa).
• Experience in performance benchmarking for enterprise applications.
• Understanding of AI and Data solution delivery life cycles.

• Client relationship building and trust.
• Consulting commercial acumen.
• Digital fluency and communication with impact.
• Experience with Snowflake and Databricks cloud data platforms.
• Mentorship and professional development of teams.
• Passion for innovation and emerging technologies.
• Ability to foster an inclusive environment that values diverse perspectives.

Top performers who blend technical expertise with business acumen, can build strong client relationships, and lead teams through change. Emotional agility and hybrid collaboration skills are essential.

We provide a comprehensive compensation and benefits package, flexible vacation policy, hybrid work model, and professional…