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Data Architect - Life Science - Manager- Consulting
Job in
Miami, Miami-Dade County, Florida, 33222, USA
Listed on 2025-12-21
Listing for:
EY
Full Time
position Listed on 2025-12-21
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst
Job Description & How to Apply Below
Job Title
Data Architect - Life Science - Manager
- Consulting - Location OPEN
Anywhere in Country
OverviewEY 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.
- 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 a focus on quality and effective 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, 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, 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, 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.
- 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 environment or cloud environment.
- Recommend design alternatives for data ingestion, processing and provisioning layers.
- Experience in Enterprise grade solution implementations, BI, data analytics databases, performance benchmarking enterprise applications, 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 the life sciences domains (Clinical (R&D) and Commercial), developing solutions for life sciences challenges.
- Flexible and proactive/self‑motivated working style with strong personal ownership of problem resolution.
- Excellent communicator (written and verbal formal and informal).
- Ability to multi‑task under pressure and work independently with minimal supervision.
- Strong verbal and written communication skills.
- Must be a team player and enjoy working in a cooperative and collaborative team environment.
- Adaptable to new technologies and standards.
- Participate in all aspects of AI and Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support.
- Building and Managing Relationships.
- Client Trust and Value and Commercial Astuteness.
- Communicating With Impact and Digital Fluency.
- Experience with cloud data platforms like Snowflake and Databricks.
- Experience in leading and influencing teams, with a focus on mentorship and professional development.
- A passion for innovation and the strategic application of emerging…
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