Big Data Architect

Latvia, Riga

Job posted: 03.11.2017

Key Qualifications

  • Experience in building and implementing architecture roadmaps for next generation enterprise data and analytics solutions
  • Experience in designing, building and operationalizing production-grade Big Data solutions using modern data technologies such as Hadoop and/or NoSQL databases
  • Experience with open source eco-system components such as Apache Spark, Apache Flume, Apache Oozie, Apache Hive, Apache Drill, Apache Kylin, Apache Flink, Apache HBase, Apache Cassandra, Apache Kafka
  • Hands-on coding experience in one or more of: Scala, Java and/or Python
  • Strong interest in growing your own technology skills
  • Architecting large scale Hadoop/NoSQL operational environments for production deployments
  • Understanding of traditional ETL tools (Pentaho, Talend, Informatica), RDBMS, SQL
  • Metadata management with Hadoop and NoSQL data in a hybrid environment
  • Experience in large scale cloud data solutions using platforms such as AWS, Azure or Google Cloud Platform
  • Experience in re-architecting and rationalizing traditional data environments with Hadoop or NoSQL technologies
  • Knowledge of enterprise security frameworks and tools
  • Experience with resource management frameworks such as Docker and/or Mesos
  • Related certifications such as TOGAF

Your role

  • Participating in vendor landscape and technology assessments (covering for example Hadoop, Spark, Kafka, NoSQL etc.)
  • Executing proof of concepts to assess the value of Big Data use cases
  • Lead solution architecting activities in the area of Big Data for developers’ teams.
  • Architect modern data solutions in a hybrid environment of traditional and modern data technologies
  • Building and implementing architecture roadmaps for next generation Big Data
  • Analytics solutions for our clients
  • Assess and define tactical and strategic opportunities to enable our clients to achieve new business capabilities through the use of Big Data and traditional tools and technologies.
  • Lead and consult the clients in full lifecycle implementation from requirements analysis, platform selection, technical architecture design, application design and development till testing, and deployment
  • Involving in sales cases of Information Management work
  • Adopting, utilizing and further developing Accenture's Information Management approaches, methodologies and assets
  • Actively participate in related Big Data communities and technology forums

Education

  • Master's Degree or PhD in Computer Science, Engineering, Technical Science or similar
Sofya Likhanova Senior consultant CONTACT ME
Lead ID:
590
Career level:
Architect
Sector:
IT
Employment:
employee

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