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Big Data Solution Architect London, UK

Big Data Solution Architect Description

Job #: 56935
EPAM is committed to providing our global team of 36,700+ EPAMers with inspiring careers from day one. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success and we value collaboration, try to always understand our customers’ business, and strive for the highest standards of excellence. In today’s new market conditions, we continue to support operations for hundreds of clients around the world remotely, with the vast majority of our teams working from home. No matter where you are located, you’ll join a dedicated, diverse community that will help you discover your fullest potential.

DESCRIPTION



We are looking to strengthen our team by hiring a technically hands-on Big Data Solution Architect to join our London team and deliver end to end client projects.

Responsibilities

  • Design data analytics solutions by utilising the big data technology stack
  • Create and present solution architecture documents with deep technical details
  • Work closely with business in identifying solution requirements and key case-studies/scenarios for future solutions
  • Conduct solution architecture review/audit, calculate and present ROI
  • Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"

Requirements

  • Strong ‘hands-on’ experience as a Big Data Architect with a solid design/development background
  • Experience delivering data analytics projects and architecture guidelines
  • Experience in data strategy and data governance
  • Ability to explain value of data governance to both business and technical stakeholders
  • Identifies requirements and use cases for the Data Cataloging (Colibra, Denodo, Informatica, Alation etc) solution that will support the governance strategy and roadmap
  • Ability to implement Data Dictionary/Data Lineage and Data Catalog use cases, See description
  • Azure Big Data Services (DataLake, Delta Lake, Spark Databricks, ADLS , HBase, Kafka, Azure Stream Analytics, Azure ML)
  • Azure Native Services (SQL Database, ADF, Log Analytics, Azure Analysis, Azure Logic Apps)

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
  • Various perks such as Gym discount, Friday lunch, on-site massage and regular social events
  • Unlimited access to LinkedIn learning solutions
  • Some of these benefits may be available only after you have passed your probationary period

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