Role Overview
We are seeking an experienced Cloud Data Architect to design, build, and modernize enterprise data platforms in the cloud. This role will lead data architecture initiatives focused on business intelligence, data management, and cloud modernization, including migrations from on-premise environments to AWS.
The ideal candidate must have deep experience in pharma, biotech, healthcare, or consulting for these industries, with a strong understanding of commercial data domains and regulated environments. You will define scalable cloud data architectures, build robust data models, and collaborate closely with business and technical stakeholders to deliver high-quality, governed, and analytics-ready data solutions.
Key Responsibilities:
Cloud Data Architecture & Modernization
Design and implement scalable, secure, and efficient cloud data architectures on AWS.
Lead cloud modernization initiatives, including migrations from on-premise systems to the cloud.
Define architectural standards, patterns, and best practices for enterprise data platforms.
Data Modeling & Data Management
Develop logical and physical data models to support analytics, reporting, and operational use cases.
Design database schemas and data storage strategies for structured and unstructured data.
Optimize database performance and ensure high data quality and reliability.
Business Intelligence Enablement
Data Governance & Collaboration
Partner with data domain owners to establish data governance, data sharing, and data quality policies.
Collaborate with cross-functional teams and business stakeholders to understand data requirements and implement solutions.
Data Pipelines & Integration
Design and optimize data pipelines for ingestion, transformation, and enrichment of structured and unstructured data.
Build and manage ETL / ELT solutions using modern tools and cloud-native services.
Architecture Leadership
Provide technical guidance and mentorship to engineers and analysts.
Drive architectural innovation and continuously improve data platform capabilities.
Stay current on emerging technologies and best practices in data management and cloud architecture.
Required Qualifications
Industry Experience (Required)
5+ years of experience in pharma commercial data domains. Experience in pharmaceutical, biotech, healthcare, or healthcare consulting environments
Experience in business intelligence and data management, including Data Architect roles
5+ years of hands-on experience with cloud solutions (AWS)
Proven experience leading at least one large-scale cloud modernization or on-prem-to-cloud migration initiative
Familiarity with GxP processes is a strong plus
AWS Cloud (required) including services such as S3, Glue, and serverless data components
Data Modeling logical, physical, and dimensional modeling
Business Intelligence & Data Warehousing
ETL / ELT Tools DBT, SnapLogic, middleware solutions
Databases SQL and NoSQL platforms
Snowflake, Apache Parquet
Data Pipeline Design & Optimization
Semantic Data Models & Knowledge Graphs ontologies, taxonomies, AI data pipelines (NLP, recommendations, predictive analytics)
Preferred Qualifications
AWS Solutions Architect certification
Experience with Innovator
Experience with AI / ML data pipelines
Experience in regulated environments (GxP, HIPAA)
Strong analytical, collaboration, and communication skills
Ability to design and confidently defend complex architectures
Experience working in agile delivery models
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