Gis Ids Data Architect Job In Lilly In India, Bengaluru / Bangalore

• Provide strategic guidance and recommendations on patterns/practices for using the various database technologies (relational, noSQL, graph, time series, etc) both on-prem and in cloud
• Provide technical expertise for change initiatives, working with solution architects, technical architects, and business product owners
• Build and maintain appropriate Enterprise Architecture artefacts including Entity Relationship Models, Data dictionary, taxonomy to aid data traceability
• Reinforce enterprise-wide documentation of data flows and data entity/attribute cataloguing Work with teams to consult on data design initiatives u2013 ensuring local consistency and enterprise-wide consistency, where possible.
  
  
• Provide technical oversight to Solution Architects in creating business driven solutions adhering to the enterprise architecture and data governance standards
• Understand relevant clinical research and commercial healthcare data and terminology

• Help establish mappings between related constants, values, and vocabularies
• Defines standards for naming, describing, governing, managing, modelling, transforming, and searching all data within the enterprise or business function ecosystem

• Serves as the liaison between data producers, information management, data solution developers and data consumers
• Possesses a deep understanding of how data is, or will be used and implication on people, processes, capabilities, and technology
• Maintain data separated and secure across national boundaries through multiple data centres and Multi Cloud deployment frameworks.
  
  
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability and performance
• Understanding of metamodels, taxonomies and ontologies, as well as of the challenges of applying structured techniques (data modelling) to less-structured sources
• Partner with other enterprise architects/functional technical teams who have advanced knowledge of Lilly architecture and engineering methodologies, UCD/UX practices, storage/network/compute infrastructure technologies to deliver end-to-end data and analytics solution

• Good exposure to Python, SQL, Hadoop, Hive, Spark, UNIX Shell scripting, and Informatica big data
• Migration of data and Data Lake building exposure in any of the cloud (AWS, Azure) is preferred.
  
  
• Expertise in JSON, REST API and other data integration strategies
• Adept in building data pipeline using cloud native and as well as 3rd party tools
• Exposure to architecture framework and tools like Zapman, Togaf92, Archimate is an added advantage
• Good understanding of common standards & regulations such HIPPA, PCI DSS, GDPR, ISO/IEC 27001, NIST etc
• Any Data Architect Certification desirable (Microsoft data engineer, Big data architect, CCP Data Engineer, AWS Certified Data Analytics etc).
  
  
• Excellent oral, communication Skill
• Prior experience of leading a team is preferred
• Passion for learning new technical disciplines especially in the data standards, information management and data quality domains

Lilly is looking for Any Graduate / Post Graduate profile candidates.