Senior Data Architect
We are looking for a hands-on Senior Data Architect to design scalable future-proof customer data landscapes for leading mid-market and enterprise clients.
Full-time Amsterdam
As a Data Architect at Assist Digital you design the data architecture that enables consistent high-quality and real-time data across organisations.
You operate across a clients data landscape defining how data is structured governed and distributed to support both operational processes and a clear unified view of the customer. You bring clarity where systems teams and data sources are complex and need to work together.
You act as a senior advisor to clients on data and integration strategy aligning stakeholders across various business departments and translating architectural direction into implementable solutions. You also contribute to raising the architectural maturity of the team through mentoring and knowledge sharing.
You will further deepen your expertise in known and widely used data and integration platforms including our proprietary operational data platform Nominow.
Key responsibilities
What youll be doing:
Contribute to pre-sales and solution design: RFPs architecture proposals and technical discovery workshops
Translate complex client requirements into clear implementable architecture decisions and pro-actively align stakeholders
Define conceptual and logical data models for operational governance and analytical contexts
Define end-to-end data flows across the data ecosystem and advise clients on data processes and integration strategy in complex environments
Establish and enforce data governance quality and MDM principles
Design integration architectures connecting operational systems data platforms and downstream activation tools (including development of stored procedures SQL queries and data connections)
Hands-on work across a range of data platforms and integration technologies including our proprietary operational data platform Nominow
Support delivery teams and mentor colleagues in architecture practices
Your profile
6 years in data architecture data engineering or senior technical data roles (preferably consultancy/client-facing)
Experience with scalable data models and integration architectures (API event-driven ETL/batch)
Strong cloud data & integration skills (SQL Snowflake/BigQuery/MS SQL APIs SFTP ELT; Python is a plus)
Understanding of cloud platforms (Azure AWS or GCP) and data governance/MDM concepts
Able to lead technical discussions across engineering and business stakeholders at enterprise level
Ownership mindset hands-on mentality and strong architectural judgement
Interest in AI is a plus
Professional working proficiency in English required Dutch preferred
What we offer
Challenging and impactful data projects for leading clients
Plenty of room for ownership initiative and professional growth
A competitive salary based on experience
Solid pension scheme
Hybrid working environment (Amsterdam office client projects)
Daily lunch excellent coffee and Friday drinks at our Assist Digital Bar
And much more;
Youll be based in our beautiful (and bright) open-spaced office in Amsterdam-Overamstel. We work in a dynamic and inspiring environment in which we treat each other with respect and kindness. Our organization structure is quite flat and ensures open addition to a tempting package of employment conditions career prospects and training opportunities we offer bootcamps provide your lunch and have Friday drinks at our massive Assist Digital bar.
At Assist Digital we combine CX strategy technology data and creativity to help organizations grow through better customer experiences. Youll work alongside an ambitious multidisciplinary team that thrives on impact innovation and collaboration. Were part of Assist Digital Group a fast-growing European CX consultancy with over 5000 specialists across 10 countries.
Lets explore greatness together!
Do you have any questions or do you think you do not fit the profile for 100% See whats possible and contact Lara Lauinger on
31 (0).
Required Experience:
Senior IC
Employment Type : Full-Time
Experience: years
Vacancy: 1