Job Category: Accounting

Sr. Data Architect - Remote (BC)

Job Location: Princeton, NJ

Date Posted: 2021-08-31

Life Science Solutions Provider



The candidate will work with business and IT leaders in driving next generation cloud based solutions driven by our clients strategic digital initiatives.

This position provides cloud data management expertise and direction to our Commercial data and analytics function, helping our clients revolutionize the way they leverages data and the cloud to build new analytics capabilities and advanced models to get care in the hands of those in need.

This role has the responsibility to conceptualize the future state pharma commercial data & analytics solutions which includes, design of advanced analytics, AI/ML, data science and data lake solutions. The person needs to be able to help our clients design and implement state of art cloud solutions and should be able to help clients make informed decisions on tool and platform selection. Drive serverless concepts where possible and architect for flexibility and scale. We need to enable business users and analysts to be able to discover data relevant to answer business questions quickly and in an agile manner.

Responsible for providing leadership and deep technical expertise in the data and analytics function by developing a comprehensive analytics, AI/ML and data architecture that matches clients strategy and vision. Strong understanding of the leading and emerging technologies in the cloud, AI/ML and data science space. Strong understanding of cloud architecture, microservices models and other emerging architectures. Strong understanding for the ways data is collected, modelled and used to deliver insights to end users. Experience collaborating with Solutions, API and Security architects to design and build a robust cloud-based data platform. Experience defining domain data models and makes sure that all data, regardless of the use case, is managed according to the agreed rules and processes. Experience creating master data governance framework, including a data governance strategy, approach, and roadmap for the data aligning with the enterprise master data governance strategy and working in collaboration with enterprise architects. Experience establishing a data dictionary and authoritative sources for the core data elements. Responsible for describing enterprise data lifecycle policy and ensuring that is used properly as per the defined rules. Experience designing and building data lakes to support the data and analytics needs of the Commercial organization. Experience lead teams of data engineers and integration developers to create data pipelines and model new data sets into the data lakes and data warehousing systems. Optimize the data architecture to enable quick data discovery using a diverse set of BI tools. Partner with various teams i.e. Strategy and Operations, Data Management, Patient Services and Managed Markets to understand and collect their data and enable federated access to the relevant data. Experience using data discovery and data mining techniques to acquire data from different sources. Understanding of latest trends in Cloud and AI and ability to apply innovation to the design.

Proven work experience of working as a Data & Analytics and Cloud architect for 8+ years. Pharmaceutical, Biotech, Medical Device, or Healthcare industry experience is preferred. 5+ years of overall experience in building and managing data technology platforms across any of the 3 cloud technologies: AWS, Azure or Google Cloud. Strong experience in developing AI/ML and data science solutions and technologies including R, Python and data science platforms such as Databricks, Dataiku, etc. Strong Design, develop, and implement end-to-end data solutions (storage, integration, processing, access, security) preferably in AWS. Strong AWS Cloud Practitioner, AWS Solutions Architect or AWS Big Data Certification preferred. Extensive hands-on experience in data warehousing design, tuning and ETL/ELT process development. POV and understanding of Cloud options available in market as well as the right tools to design a next gen cloud Datawarehouse. Previous experience in implementing continuous delivery and DevOps solutions.

Please contact Brian Clark at


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