Architect - Data & Analytics

First published date: 04/09/2026

Data & Analytics focuses on building and operating global data and analytics solutions as well as providing directives on compliant and efficient processing of enterprise data.

The objective of the architecture department is to ensure that business strategy, IT strategy and implementations are aligned on an ongoing basis considering applicable technology approaches, solutions, good practices, risk appetite and cost targets.

Main activities are:

Creating the designs of data & analytics components and processes, specifically:

Practices and frameworks

Vendor and technology solutions/services architecture

Technology implementation approach

Providing global advisory on design and implementation matters

Advisory role in data & analytics programs

Advisory role in data processing standards

Writing vision/position papers

Key responsibilities

Architecture artefacts lead and delivery

Formulating and testing hypotheses and drawing conclusions to determine appropriate data & analytics solutions/services for ING in a global perspective

Designing global data & analytics platform components ensuring the optimal match between technology, fit-to-infrastructure (feasibility of deployment), costs, user acceptance, measurability, and flexibility/scalability together with a virtual team of architects and engineers

Maintaining and updating the global strategy for data & analytics taking relevant (technological, organisational) changes into consideration as well as keeping pace with innovations and trends in the industry/market

Communication and verification

Presenting and delivering verbal and written messages to other architects within ING, senior specialists and senior executive management

Defining and presenting final solution and impact on the organisation, and sustaining the rationale for the solution/service

Organising and providing trainings, workshops, video conferences and working with international (virtual) teams on the topic of data & analytics architecture

Building and maintaining a sustainable network of specialists inside and outside ING

Intellectual capital & knowledge sharing

Initiating and leading knowledge sharing activities

Keeping professional knowledge up-to-date and translating external innovations and trends into useable information

Requirements

Fluent in conceptual aspects of data & analytics, specifically on:

Data & analytics architecture practices and frameworks

Database design (RDBMS, SQL and NoSQL)

Google BigQuery and VertexAI

Background in computer science or mathematics/physics

At least 10 years of professional experience in the field of IT, and at least 5 years in the field of data & analytics

Furthermore, the following personal profile:

Ability to take ownership and responsibility

Expertise and demonstrated track-record in driving and steering multidisciplinary teams

Excellent analytical skills and clear way of expressing abstract concepts

Experience in producing and presenting architectures on a conceptual and logical level

Experience in effective communication on senior management level

Excellent writing & reporting skills in English

Determination to continuously develop your (technical) expertise and knowledge

Willingness to travel (up to 10%, mainly in Europe)

• Rewards and benefits
• We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.

The benefits of working with us at ING include:

25-28 vacation days depending on contract

Pension scheme

13th month salary

8% Holiday payment

Hybrid working

Personal growth and challenging work with endless possibilities

An informal working environment with innovative colleagues

• About us
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