Data Platform Architect - Onsite Contractual
Budget: ₹750 – ₹1,250 INR
- 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
- 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