Data Architect - Life Science - Manager- Consulting

Data Architect - Life Science - Manager – Consulting

Location:

Anywhere in Country

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- Data Architect – Manager – Life Sciences Sector

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 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.

Your team will design and build scalable solutions for life sciences clients that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering, providing guidance and performing technical development tasks to ensure data‑science solutions are properly engineered and maintained to support ongoing business needs.

In this pivotal role, you will manage and deliver one or more processes, solutions, and projects, focus on quality and risk management, drive continuous process improvement, and recommend innovative solutions through research, analysis, and best practices.

• 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, to capture requirements and align on data architecture strategies and projects.
• Design and build solutions on AWS, Databricks, Snowflake.
• Design conceptual, logical, 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 SaaS applications, cloud computing architecture, data‑architecture design, and platform modernization.
• Implement data‑integration best practices and develop standardized practices for new products and capabilities using big‑data technologies.
• Interact with senior client technology leaders to understand business goals 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.
• Translate business problems into technical solutions considering security, performance, and scalability.
• Knowledge of big‑data architecture patterns (Lambda, Kappa) and performance benchmarking.
• Experience in data security (at rest and in motion).

• Bachelor’s degree and 10‑15 years of full‑time working experience in Data Architecture/Engineering.
• 2‑4 years of…