Enterprise Architect

ING

Vacature informatie

Organisatie: ING

Locatie: Amsterdam

Opleidingsniveau: WO

Arbeidsvoorwaarden: Marktconform

Solliciteren

ING Wholesale Banking Advanced Analytics (WBAA) is looking to add an Enterprise Architect with experience in distributed systems design and build, with focus on Advanced Analytics. The vision is to create a reliable and scalable analytics data platform that is transparent, secure, efficient and as easy to access as possible by our varied applications.

You will build this analytics data platform driven by the needs of the incumbent (real time) analytics applications. At the same time, you understand the dynamics of a large regulated organization and you are able to balance the needs of stakeholders. This you will use to set the boundaries of the analytics data platform. You drive the agenda for embedding analytics for customers and you are not afraid of challenging set beliefs. You lead by example and you are not afraid to experiment.

While you have a technical background and a love for big data technologies it is your ambition to help building data driven companies by having the right architecture in place. So you are not afraid of discussing techniques with our data scientists and engineers, but you thrive having in production what they are building.

Responsibilities

  • Design, architect and build data platform solutions using Big Data Technologies
  • Own and establish a Reference Architecture for Analytics Big Data
  • Evangelize Advanced Analytics within the Enterprise Architecture community
  • Embed and productize advanced analytics solutions

Qualifications

  • MS degree in Computer Science, Engineering or equivalent practical experience
  • 3+ years experience with Big data systems for analytics
  • Proven problem solving skills
  • Demonstrated industry leadership in the fields of database, data warehousing or data sciences.
  • Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment.

Preferred Qualifications

  • Excellent skills in negotiation
  • Solid expertise in data technologies: Hadoop, Spark, ETL, MDM, Data Warehousing
  • Understanding of statistics and experimental design

Vacature informatie

Organisatie: ING

Locatie: Amsterdam

Opleidingsniveau: WO

Arbeidsvoorwaarden: Marktconform

Solliciteren

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