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AI Architect

5.00 to 10.00 Years   Bangalore   17 Jan, 2023
Infosys Limited
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    We are looking for a highly motivated, credible, and trusted Data Platform Architect to drive high priority customer initiatives on all major cloud platforms in collaboration with customers and the various accounts segment of our business. The ideal candidate will have experience in customer-facing roles and success leading deep technical architecture discussions with senior customer executives, Enterprise Architects, IT Management and Developers to drive Data Platform and Advanced Analytics solutions to production. Contribute to the process of establishing a Data Lake / Data Warehouse (EDW), Operational Data Store (ODS) Play a key role in the process of data transformation (Data Collection, Data validation/quality, Data Cleaning, Data Exploration and Analysis activities) required for effective reporting, analytics, and visualization Develop and evolve the enterprise-wide data architecture strategy and roadmap to support delivery Build and maintain artefacts including Entity Relationship Models, Data dictionary, taxonomy, governance framework to aid data traceability Partner with other key team to define, document, and communicate principles, patterns, and reference architectures that provide a clear vision for delivering value from data Ability to identify fit for purpose data stores (relational, NoSQL, document, graph, etc.) to meet business requirements Oversee the migration of data from legacy systems to new solutions Ability to communicate, influence and persuade peers and leadership Required/Minimum Qualifications 3+ years of success in consultative/complex technical sales and deployment projects, architecture, design, implementation, and/or support of highly distributed applications Proven experience in architecting and implementing big data platforms like Azure synapse analytics, Snowflake, GCP Big Query, AWS Redshift etc. A comprehensive understanding of the principles and best practices behind data engineering, and the supporting technologies such as RDBMS, NoSQL, Cache & In-memory stores Experience with distributed data and analytics architectures in cloud and hybrid environments and handled data volumes exceeding 1 TB Experience using Azure, GCP, AWS cloud data platforms to design schema, build views and optimize data transformation processes or similar technologies Experience in implementing standards, best practices, and latest technical advancements in areas of data engineering and big data processing Experience in optimizing the infrastructure cost and application runtimes by monitoring the utilization stats using tools available and right sizing the underlying compute Awareness of visualization / reporting environments including Tableau, Power BI or other similar tools Deep knowledge of architectural patterns such as data warehouse, data lake, and data hub and the ability to leverage them to enable operational and analytical use cases Familiarity with data modeling skills,

Keyskills :
big datapower biuse casesclear visionit managementdata modeling

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