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  • Posted: November 6, 2019
    Deadline: Not specified
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  • 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...
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    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.

     

    Responsibilities

    • 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 www.linkedin.com to apply
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