Data Architect - Singapore - Accenture Pte Ltd

    Accenture Pte Ltd
    Accenture Pte Ltd Singapore

    Found in: Talent SG 2A C2 - 2 weeks ago

    Default job background
    $100,000 - $150,000 per year Technology / Internet
    Description

    Job Description:
    Lead end to end implementations of Data & ML platforms as a Project / Program leadLead engagements in defining the Data Strategy & Data Architecture for Data & ML platformsResponsible for successful implementation & achievement of program objectives through leading & coordination across workstreams & dependent projects, managing risks & dependenciesEngage with CDO & other senior stakeholders in IT & Business to help in shaping the organization Data Strategy and Data Platform SstrategyProviding guidance & support for architecting & planning the implementation of Data & AI platforms for clients

    Job Qualifications:
    Hands on experience with SQL, Python, ScalaHands on experience with using a variety of ETL tools for data ingestion & processingLed implementation of data platforms / data lakes, leveraging distributed computing frameworks to handle Data Ingestion, Processing, Serving and integration with ML Pipelines - either in cloud or on premise implementationsStrong understanding of the various data stores, storage formats and able to propose appropriate choices based on business needs and tradeoffs involvedDeep understanding of various integration patterns covering batch, near real time, real time (e.g.

    CDC, API, Event Streams etc), the tradeoffs with each pattern and able to provide thought leadership in determination of appropriate processing patternsConversant with upcoming & latest frameworks, tools & applicable use cases and their integration considerations into data architectureGood to have but not a mustHands on experience with SQL, Python, ScalaHands on experience with using a variety of ETL tools for data ingestion & processingLed implementation of data platforms / data lakes, leveraging distributed computing frameworks to handle Data Ingestion, Processing, Serving and integration with ML Pipelines - either in cloud or on premise implementationsStrong understanding of the various data stores, storage formats and able to propose appropriate choices based on business needs and tradeoffs involvedDeep understanding of various integration patterns covering batch, near real time, real time (e.g.

    CDC, API, Event Streams etc), the tradeoffs with each pattern and able to provide thought leadership in determination of appropriate processing patternsConversant with upcoming & latest frameworks, tools & applicable use cases and their integration considerations into data architecture

    Skills:
    Scala, Big Data, Pipelines, Architect, Hadoop, Data Management, Etl, Data Integration, Data Governance, Sql, Python, Data Architecture, Data Warehousing, Data Strategy


    Experience:
    Years

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