EY · 15 hours ago
Data Architect - Life Science - Manager- Consulting - Location OPEN
New Orleans, LA
Full-time
Hybrid
Senior Level, Lead/Staff
$126K/yr - $230K/yr
10+ years expEY is a globally connected powerhouse of diverse teams that helps to build a better working world. They are seeking a Data Architecture Manager with a strong understanding of data and technology in the Life Sciences sector to design, develop, and govern clients’ data architectures, ensuring effective and secure data solutions that align with business objectives.
AccountingAdviceBusiness IntelligenceConsultingFinancial ServicesProfessional Services
Responsibilities
Your teams 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
We’ll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients
In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management
You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices
You will apply your 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 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
Technical Skills Applications Integration with third party vendor SaaS applications
Cloud Computing and 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 environment 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 in converting business problems/challenges to technical solutions considering security, performance, scalability etc
Knowledge in Big data architecture patterns (Lambda, Kappa)
Experience in performance bench marking enterprise applications
Experience in Data security (on the move, at rest)
Qualification
Required
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
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
Technical Skills Applications Integration with third party vendor SaaS applications
Cloud Computing and 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 environment 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 in converting business problems/challenges to technical solutions considering security, performance, scalability etc
Knowledge in Big data architecture patterns (Lambda, Kappa)
Experience in performance bench marking enterprise applications
Experience in Data security (on the move, at rest)
Preferred
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 technologies to solve real-world challenges
The ability to foster an inclusive environment that values diverse perspectives and empowers team members
Benefits
Medical and dental coverage
Pension and 401(k) plans
A wide range of paid time off options
Flexible vacation policy
Designated EY Paid Holidays
Winter/Summer breaks
Personal/Family Care
Other leaves of absence when needed to support your physical, financial, and emotional well-being
Company
EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.
10001+ employees
H1B Sponsorship
EY has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (10242)
2024 (9877)
2023 (10966)
2022 (9394)
2021 (5652)
2020 (8849)
Funding
Current Stage
Late StageLeadership Team
Jonathan Williamson
Chief Operating Officer
Abhishek Sen
Partner
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