Collaborate with cross-functional folks, including system architects, software developers, design analysts, data engineers/scientists/analysts and information modeling experts to determine requirements and capabilities, and arrive at development and implementation timelines
Develop architectural strategies for data modeling, design and implementation to meet stated requirements for metadata management, data warehouses and Extract Transform Load (ETL) environments
Create and test physical data models for a variety of business data, applications, database structures and metadata tables to address performance and efficiency
Review existing data architectures to determine overall effectiveness and adherence with objectives, develop plans and strategies to improve
Investigate new technologies, data modeling methods and information management systems to determine which ones should be incorporated onto data architectures, and develop implementation timelines and milestones
Responsible for driving harmonization and modular design of information, being processed within assets (i.e., product, system, software, service, platform, solution), in all parts of their business organization, compliant with the information-related parts of the HealthSuite Reference Architecture (HSRA), while leveraging (where appropriate) Philips common information models (per the HSRA Manifesto) and common information processing technology choices.
Architect, develop, operate and drive scalable and resilient data platform to address the business requirements.
Drive industry best practices around data and metadata management, data quality, data governance, and data privacy.
Help drive technology and business transformation through the creation of the Healthcare Data Cloud and analytics portfolio that will help Change establish a leadership position in healthcare data & analytics in the industry.
Work with engineering teams to build scalable data stores with business-centric data management.
Be a thought leader and partner in the development and execution of the Enterprise Technology Strategy.
Partner with Product Management and Business leaders to drive Agile delivery of both existing and new offerings
Assist with the Leadership and Collaboration with Engineering Organizations within Change to manage and optimize the portfolio.
Create roadmap, design and implement solutions to migrate legacy systems to next gen solutions
Ensure that the applications are complying with internal as well as external compliance
Implement effective monitoring solutions to monitor the Availability and Performance of the Applications
Be the technical mentor for junior employees
Job Skills & Qualifications:
Around 12 to 15 years of combined experience in Relational Database, Data Warehousing, Big Data, Analytics, Application Programming and Cloud development
Prior work experience of having served in the capacity of being a Data Architect for 5+ years.
Experienced in knowledge-driven data processing techniques like data curation, representation, standardization, normalization and any other type of processing that prepares the data for integration, persistence, analysis, exchange/share and so forth.
Hands on experience in AWS technologies like AWS S3, RedShift, Glue, Lambda, EMR & Athena
Experience in defining Security as well as Cost Optimization in AWS
Demonstrable experience in Big Data (MongoDB, Hadoop, Spark, Kafka, Hive, Cassandra etc.)
Experience in architecting and implementing Data Warehouse solutions
Expert in designing and implementing Data Pipelines, ETL/ELT
Expert in relational database development
Expert in implementing highly available & performance-oriented systems
Experience in Visualization tools (Qlikview, Tableau etc.)
Strong programming skills (Java, Python)
Experience in Agile development
Experience in CI/CD systems
Proven track record of building and delivering enterprise-class products.
Crisp and effective executive communication skills, including significant experience presenting cross-functionally and across all levels.