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  • Posted: Nov 6, 2019
    Deadline: Not specified
  • Accenture solves our clients' toughest challenges by providing unmatched services in strategy, consulting, digital, technology and operations. We partner with more than three-quarters of the Fortune Global 500, driving innovation to improve the way the world works and lives. With expertise across more than 40 industries and all business functions, we deliver...
    Read more about this company

    Google Cloud Data Architect


    A good solution architect must also be able to communicate effectively with their and their client’s teams at a technical as well as business level while assisting and driving the delivery (including governance) for our clients.


    Key Competencies

    • Deep technical skills and experience in one or more technology architecture domains
    • Ability to develop implementation plans and estimates that serve as input to the business case supporting the technology implementation
    • Implement and Drive effective Software Development methodologies depending on project and client environment such as Agile, Spiral and/or Waterfall.



    • Experience in building solution architecture, provision infrastructure, secure and reliable data-centric services and application in GCP
    • Implement end-to-end data analytics solutions (from data ingestion through visualization) for large-scale, complex client environments
    • Lead a team of data engineers in designing, developing, testing, and deploying high performance data analytics solutions in GCP
    • Analyze and understand Big Data and analytical technologies on GCP and provide thought leadership to clients to assist with defining their architecture, data, analytics strategies
    • Communicate complex technical topics to non-technical business and sr. executives
    • Experience working with recommendation engines, data pipelines, or distributed machine learning and experience with data analytics and data visualization techniques and software
    • Mentoring technical staff


    Qualifications Required

    Bachelor’s degree in Engineering, Information Technology, Computer Science or Information Systems, or equivalent work experience


    Required Competencies

    • 10+ years of IT experience and equivalent blend of education and experience
    • 5+ years architecting, developing, and deploying scalable enterprise data analytics solutions (Enterprise Data Warehouses, Data Marts)
    • Hands-on experience deploying data analytics solutions in GCP using BigTable/BigQuery/CloudSQL/DataProc/CloudSpanner/Cloudstorage
    • Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (such as Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume)
    • Effective customer-facing communication and listening skills, with the ability to collaborate directly with customer technical teams
    • Build orchestration frameworks and data pipelines using DataFlow and DataProc for batch and streaming applications
    • Knowledge on Google AutoML framework to build intelligence into the data pipelines
    • Hands-on experience with Big Data modelling techniques: Data Vault 2.0
    • Strong understanding of Java/Python programming languages; knowledge of RESTAPI frameworks
    • Strong understanding of the data analytics tools, packages, offerings
    • Demonstrated technical leadership experience working successfully as part of a large project team
    • Excellent written and oral communication skills
    • Demonstrate experience presenting technical topics in front of an audience
    • 5+ years experience writing complex SQL queries, stored procedures
    • GOOGLE CLOUD CERTIFIED (Professional Cloud Architect)


    Additional Competencies

    • At least 3 years of application development with extensive database use
      Proven expertise in a one of more of SQL, Stored Procedures, Scripting Languages, Object and Data Modelling
    • Knowledge of and hands-on work on Big Data Platforms will be a plus (e.g Hadoop, Spark, Cloudera or any of the Cloud Data Platforms)
    • Performance tuning of custom code, custom queries and troubleshooting techniques
    • Proven application analysis and design skills
    • Very good communication skills, written and spoken

    Method of Application

    Interested and qualified? Go to Accenture on to apply
  • Send your application

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