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GCP Data Solutions Architect Liverpool, UK

GCP Data Solutions Architect Description

Job #: 76091
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has leveraged its advanced software engineering heritage to become the foremost global digital transformation services provider – leading the industry in digital and physical product development and digital platform engineering services. Through its innovative strategy; integrated advisory, consulting, and design capabilities; and unique ‘Engineering DNA,’ EPAM’s globally deployed hybrid teams help make the future real for clients and communities around the world by powering better enterprise, education and health platforms that connect people, optimize experiences, and improve people’s lives. In 2021, EPAM was added to the S&P 500 and included among the list of Forbes Global 2000 companies.

Selected by Newsweek as a 2021 Most Loved Workplace, EPAM’s global multi-disciplinary teams serve customers in more than 45 countries across five continents. As a recognized leader, EPAM is listed among the top 15 companies in Information Technology Services on the Fortune 1000 and ranked as the top IT services company on Fortune’s 100 Fastest-Growing Companies list for the last three consecutive years. EPAM is also listed among Ad Age’s top 25 World’s Largest Agency Companies for three consecutive years, and Consulting Magazine named EPAM Continuum a top 20 Fastest-Growing Firm.

DESCRIPTION



Are you an avid technologist who enjoys solving complex data and technical consulting challenges?
Are you hungry to thrive in an entrepreneurial environment as part of a rapidly expanding and very successful global engineering company?
If so, then EPAM is looking for a hands-on Big Data Solution Architect to be part of this continued acceleration to strengthen our business in Western Europe.

What You’ll Do

  • Work closely with business in identifying solution requirements and key case-studies/scenarios to architect data solution for business transformation
  • Lead GCP Data and Big Data initiatives on enterprise level as adept of data technologies
  • Design GCP data analytics solutions by utilizing the data technology stack with Big Data techniques
  • Conduct solution architecture review/audit, calculate and present ROI
  • Create and present solution architecture documents with deep technical details to customer and implementation teams
  • Participate in the full cycle of “pre-sale” activities to prepare technical proposals on customer requests: direct communications with customers, RFP processing, the development of proposals for implementation and design of the solution, presentation for proposed solution architecture to the customer and participate in technical meetings with customer representatives
  • Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"
  • Maintain a strong understanding of industry trends and best practices
  • Stay on cutting edge of data technologies and be the first one to propose & implement new technologies for the best business value of EPAM and its customers
  • Constantly grow expertise by gathering and monitoring available EPAM project experience and ongoing projects with clients from different business domains to drive further EPAM business in data field
  • Create and follow personal education plan in the technology stack and solution architecture
  • Share experience, knowledge and vision with EPAM, colleagues and customer teams. Participate in seminars, meet ups, mentoring, training programs. Prepare white papers and presentations

Requirements

  • Strong ‘hands-on’ experience as a Big Data Architect with a solid design/development background with Java, Scala, or Python
  • Strong experience and knowledge working with GCP and Google Data Products like:
    • BigQuery
    • Dataflow
    • Dataproc
    • AI Building Blocks
    • Looker
    • Cloud Data Fusion
    • Dataprep
  • Architecture experience and practice in some of the following areas:
    • Data Management
    • Data Storage
    • Data Visualization
    • Disaster Recovery
    • Integration
    • Operation
    • Presale Support
    • Security
  • Solid experience in continuous delivery tools and technologies, containers and resource management systems
  • Able to lead Big Data initiatives on enterprise level and to architecture customer business transformations with data technologies
  • Strong communication skills, including customer facing, pre-sales activities and team coordination
  • Fluent English

Nice to have

  • Experience and hands-on with TB & PB scale analytics platform, understanding and theoretical knowledge for developing and building such kind of platforms
  • Experience in high load and IoT Data Platform architectures and infrastructures
  • Practical experience in performance tuning and optimization, bottleneck problem analysis
  • Programming Languages: Java/ Scala; Python; SQL; Bash
  • Big Data stack: Hadoop, Yarn, HDFS, MapReduce, Hive, Spark, Kafka, Flume, Sqoop, Zookeper
  • NoSQL: Cassandra and HBase & superstructures (Phoenix/Tephra, TitanDB/JanusGraph/Tinkerpop/Gremlin, OpenTSDB, Kylin); CosmosDB; MongoDB
  • Queues and Stream processing: Kafka Streams; Flink; Spark Streaming; Storm; Beam; Event Hub; IOT Hub; MQTT; Storage Queues; Service Bus; Stream Analytics
  • Background in traditional data warehouse and business intelligence stacks (ETL, MPP Databases, Tableau, Microsoft Power BI, SAP Business Objects)
  • Data Visualization: Power BI, Tableau, QlikView
  • Operation: Cluster operation, Cluster planning
  • Flow Management: Apache Oozie, Informatica Big Data, Talend, Airflow, Streamset, NiFi
  • Search: Solr, Elasticsearch/ELK
  • InMemory: Ignite, Redis, Druid

We offer

  • We offer a range of benefits including
  • A competitive group pension plan, life assurance and income protection
  • Private medical insurance, private dental care and critical illness cover
  • Cycle scheme Tech scheme and season ticket loan
  • Employee assistance program
  • Unlimited access to LinkedIn learning solutions
  • EPAM Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)
  • Various perks such as Gym discount, Friday lunch, on-site massage and regular social events
  • Some of these benefits may be available only after you have passed your probationary period

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