Lead Data Architect

Industry / Sector / Domain

Life Sciences



Experience Range

18+ years

Company Profile

A leading player in the Life Sciences domain

Job Profile

  • Establish and guide the vison of next generation product architecture using cloud-native technologies
  • Design high performance, highly scalable and sustainable architecture for ingesting, processing, storing and  using data for BI & Analytics applications 
  • Coordinate with stakeholders and SMEs from legal, compliance, data strategy and other areas to ensure data  architecture is aligned with data privacy, security and other regulations and laws 
  • Provide technical recommendations and mentoring team-members from data engineering and data analytics  backgrounds in design and implementation of performant and cost-effective Data & BI solutions 
  • Document the project and program architecture and environment to present an accurate view of the larger  product architecture picture 
  • Provide trainings, presentations and documentation to internal and external teams to facilitate easy integration  and wide usage of system architecture and components 
  • Drive innovation through good understanding of data, business drivers and business needs. 
  • Work with other architects and teams to drive design & implementation of an optimal solution architecture. 

Candidate Profile

  • 18+ years of IT experience 
  • 10+ years of Data modeling/ Analytics design and architecture experience 
  • Experience in healthcare is a plus
  • Must have previous experience in leading the design and architecture aspects of Big Data, BI and Analytics  systems 
  • Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, Master  Data Management, Data Archival and Data Migration strategies 
  • Industry experience and expertise in working with containers and cloud infrastructure is mandatory
  • Hands-on experience with analytical tools & languages (e.g. SPSS, Python, R)
  • Experience in working with latest SCM, automation, CI/CD tools & technologies (e.g. Git, Jenkins, pyTest )
  • Excellent interpersonal, communication and presentations skills.
  • Should be able to influence discussions and  build consensus
  • Experience in working on data science projects or working closely with data scientists is a plus
  • Experience in managing and leading team of architects & senior tech leads in a product organisation is desirable 
  • Experience in contributing to or leading an open-source projects is desirable

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