Customer Data Architect

For our Customer Engagement Tribe in DFDS we are looking for a Customer Data Architect to take the responsibility for the data architecture landscape of the sales and marketing domain and oversee key technical and design decisions through to implementation.

In this role, you will take ownership of our customer data flows, conceive of, architect, and guide implementation of solutions that enable us to execute on sophisticated, personalized, and technically challenging marketing strategies across multiple business units.

This will entail not only the responsibility of ensuring a clearly purposed architecture, accounting for the customer lifecycle and data-collection points, but also communicating needs to developers and other specialists and, together with the Product Owner, mediating between people with different mindsets and agendas, to make sure the right needs are met.

The tasks and responsibilities you would hold look something like this:

• Create a vision for the customer data infrastructure within the domain of sales and marketing in collaboration with enterprise architecture and cloud engineering
• Apply value-balanced approaches to the development of the data ecosystem and pipeline initiatives
• Guide the building of pipelines that ingest, move, store, and prepare data based on the conceptualized data frameworks and architecture and maintain them over time for efficient consumption of compute resources and reliable usage by all applications.
• Enhance end-to-end workflows with automation that rapidly accelerate data flow with pipeline management tools
• Identify and implement data driven practices in an agile environment and map the discrepancy between the current processes and the desired state in order to continuously innovate our marketing and sales processes and adapt them to market trends.
• Advise on performance optimizations and best practices for scalable data models, pipelines and queries

How would you fit in?
We want someone with an intuitive understanding of the customer lifecycle, who enjoys solving the complex puzzles of fitting innovative usages of data together with the needs of the business while taking organizational maturity and compliance into account.

You will maintain a strong understanding of the bigger picture, keeping yourself continuously informed of the latest innovations, technologies, patterns and practices in data warehousing, data pipelining, experience orchestration and automation in general.

A pragmatic and commercial mindset, a willingness to mediate between technical and non-technical stakeholders, as well as a desire to architect, measure, and learn is a must along with the ability to think ahead and understand overall business contexts and strategies.

Are we a match? Apply now!

If you find the job interesting, submit your CV and application in English. We will evaluate applications on an ongoing basis as the position will be filled as soon as possible.
Please contact Product Owner Frederik Zillmer on frzil@dfds.com for questions about the position.