(Data Architect) Application Architect-Data Platforms

SUMMARY:
Contract Ends 30 June 2021

POSITION INFO:

Role and Responsibilities:
Combines deep data and analytics skills with strong business acumen to solve IT management problems and business problems by understanding, preparing, and analysing data to predict emerging trends and provide recommendations to optimize results. Responsibilities include:
- Analyse data quality and accuracy and provide recommendations to improve its trustability.
- Work with business leaders to solve business problems by understanding, preparing, and analysing data to predict emerging trends and provide recommendations to optimize results.
- Carry out data engineering, modelling, and business analysis tasks.
- Solid scientific foundations as well as business acumen.

• Work closely with the deal teams to shape and solution data programs, continuously engage with key client executives and share IBM solution details, effectively communicate value proposition on the new age big data, data on the cloud stack to help modernize client’s data program.
• Own end to end delivery of, a) large & complex data transformation programs, b) small and nimble data initiatives to realize quick gains, c) work with IBM and Partners to bring the best tools and delivery methods.
• Own the offerings and assets on key components of data supply chain, data governance & curation, data quality and master data management, data integration, data replication, data virtualization, self service interaction for data preparation and testing
• Build key partnerships with top tools, platform and cloud providers.
• Improvise new and innovative data assets and drive it’s adoption to the market.
• Be a thought leader on data supply chain
• Apply knowledge and explain the benefits gained by organizations implementing strategies relating to: Big Data (incorporating Hadoop, and analytics), Business Continuity, Disaster Recovery, Cloud implementation, and DevOps. Ability to identify product, utilities, and tools commonly used in relation to the topics above.
• Worked in building core data assets of one of the cloud providers
• Familiarity of new and emerging technologies like Edge Computing, with data & workload processing on cloud, edge and devices
• Relationships with various technology providers (e.g. ETL, DV, Data Lake, Reporting and Visualization, API management, Security etc) to build end to end solution satisfying client needs and successful project delivery
• Strong relations in the Indian market with key client decision makers

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