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10/05 Vaishanavi
HR at Biocon Limited

Views:179 Applications:31 Rec. Actions:Recruiter Actions:12

Biocon - Data Platform Architect - Digital Transformation (8-14 yrs) Premium

Bangalore Job Code: 1092655

Data Platform Architect Digital Transformation


About the Function :


This position is responsible to ensure that Data Platforms in the Organization are designed & implemented for flexibility & scalability, leveraging the latest technology stack and data management industry-best practices.

Key responsibilities of the Role :

- Provide technical leadership and strategic direction for data platform and data management architecture through a good understanding of data warehousing and integration technologies

- 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

- Solid understanding of designing data engineering platforms (Preferably Cloud-based and Big Data Platforms)

- 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.

- Strong hands-on experience working on Data Modelling, Data Management (master, meta data management, dictionaries, data catalogs) and exposure to 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.)

- 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

- 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

Women-friendly workplace:

Maternity and Paternity Benefits

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