Our client, a leading large enterprise in its domain, is looking for a strong Data Lake & Analytics Platform Architect for their growing data needs. The selected candidate will be leading their data and analytics architecture and build. This role will be the lead person in leading their Data development across the firm.

Responsibilities:
– Design the Data technology architecture in Data Lake and Analytics which creates a data-driven environment for the whole organization.
– Lead the definition of the enterprise data models, policies and standards which support and align with the firm’s vision and objectives.
– Build a Data CoE across the business and technology in the organization.
– Work with the senior leaders in defining the technology strategy, solutions and architecture in data and analytics.
– Establish and maintain core data models, information standards, and data management lifecycle controls.
– Provide End-to-end data design and management for data acquisition and processing, data quality and governance for the Enterprise Data platform.
– Work with the application teams in creating technology platforms across:
– Data Management and Governance Platform
– Integration Platform between applications running on-premise and on cloud
– Data Lake / Data Visualization / Data Analytics Solutions (Informatica, Tableau, QlikView etc)

Requirements:
– At least 10 years of working experience in Data Architecture.
– Candidates either strong in Data Lake OR Data Science technology would also be considered. (It is not necessary to be required good with both)
– Proven experience in establishing a data governance model and framework.
– Strong project management skills in managing business data governance solution implementation and delivery projects.
– Experience in implementing data solutions on Cloud platforms would be preferred.
– Strong knowledge and experience in Data warehouse and relational databases.
– Strong in Data Science Language including R and Python.
– Strong in Data Visualization tools including SAS and Tableau.
– Strong in Data Lake Technologies including Hadoop, Spark, Kafka, Hive and MapReduce.
– Knowledge of Messaging technologies says Tibco and MQ.
– Strategic thinking and communication, which is able to coach and lead all levels of people.
– Strong leadership and influencing skills.
– Bachelor or Master’s degree from a reputable University.
– Excellent communication skills in English.

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