Data Platform Architect (4+ Years) Onsite

Key responsibilities of the Role: • Provide technical leadership and strategic direction for data platform and data management architecture • Setup mechanism to deal with Data Management lifecycle – acquisition, modelling, distribution & reporting and adopting dataflow management & data storage strategy • Responsible for physical & logical data design & development of Data architecture based on modern industry practices • Define standards about data gathering, storage, quality, transformation, integration & consumption • Lead in acquiring & implementing the data modelling tools, standards, technologies, relational & non-relational data sources, big data etc. • Responsible for choosing, designing and building the data engineering & management strategy through evaluation/identification of data acquisition, data flow solutions • Manage the Business, Application & Technology Architectures from Data perspectives • Ownership of the metadata-driven architectures & other data architectures Skills Required - Good understanding of data warehousing and integration technologies - Solid understanding of designing data engineering platforms (Preferably Cloud-based and Big Data Platforms) - Strong hands-on experience working on Data Modelling, Data Management (master, metadata management, dictionaries, data catalogues) - Exposure to a broad range of tools and technologies in the space (standard RDBS like Oracle, SQL and cloud/big data platforms like Hadoop Stack, Talend, SAP-BODS, Kettle, Ni-Fi, Google Big Query/RedShift etc.) - Expert in any Data Management Platforms like Microsoft Azure, AWS etc. & conduct POCs and implementation henceforth across the whole Enterprise Data portfolio - Experience in data extraction design from enterprise applications like SAP, CRM systems, manufacturing systems like MES, other enterprise data warehouses like SAP HANA/SAP BW and other unconventional data sources - Well versed with skills like Artificial Intelligence, Clustering, Machine Learning, Random Forest & Regression - Should be from Pharma and Biopharma Industry - Good leading and management skills