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Lead Architect

3.00 to 6.00 Years   Pune   30 Nov, 2022
Job LocationPune
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaIT Operations / EDP / MISWeb / Mobile Technologies
EmploymentTypeFull-time

Job Description

    *.
    • Build solution design & implementation of large scale futuristic data architecture, real-time data pipelines for data curation, feature engineering and machine learning on enterprise/open source tools, transitioned data & AI workloads to cloud platforms (AWS, GCP, Azure)
    • Define the modern distributed data store architecture and design leveraging a hybrid cloud environment, distributed data pipelines, and incorporating automated governance
    • Work on opportunity pursuits to shape and solution data programs, engage with key client executives and effectively communicate value proposition on the next gen data capabilities
    • Leads client assessments, preparing current state and future state architectures along with go forward recommendations
    • Ability to work with a multi-technology / cross-functional teams and customer stakeholders to guide/managing a full lifecycle of a big data solution
    Qualification:
    • Architect with extensive experience in designing, architecting, and implementing large scale data processing/data storage/data distribution systems
    • Strong understanding of Data Analytics platforms and ETL in the context of emerging data sources like Kafka/ Flink / Spark
    • Should have experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS, Cloud native data stores on AWS, Azure and Google as well as using NoSQL and Graph Stores
    • Extensive experience in data modelling and working with API based data exchange
    • Expertise in enterprise data governance, data security, data quality, data lineage tools
    • Expertise in Decision intelligence, DataOps, MLOps and multi-cloud data platform implementation
    • Ability to frame architectural decisions, provide technology leadership & direction
    • Excellent written and verbal communication
    • Strong senior stake-holders management
    • Strong client-interfacing and business presentation
    ,

Keyskills :
automationenvironmentdeliverynetapachebig datadata qualityhybrid clouddata modelingdata security

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