or apply directly on Zartis's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 21 days Zartis's roles stay open a median of 32 days
- Reposted
- No
- Salary listed
- No 0% of Zartis's roles list one
- Ghost-job risk at Zartis
- low 0 stale, 0 reposted of 8 open
- Hiring momentum
- 20 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Zartis's own lever board since 2026-08-04. Full hiring picture for Zartis.
About this role
As a Lead Data Architect at Zartis, you will lead the discovery and data modeling for a new canonical data platform in the media sector. Your role involves collaborating with business users and engineering teams to understand data requirements, mapping existing datasets to the target model, and ensuring the model is actionable for implementation. You will document key architectural decisions and work closely with data engineering teams to address data quality issues and risks.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Zartis as an employer.
What you need
- Strong experience in data architecture and data modelling, including canonical and dimensional modelling across complex business domains.
- Proven ability to understand complex data landscapes and translate business concepts, source structures, and requirements into clear, coherent data models.
- Experience analysing and profiling data across multiple sources, including complex or poorly documented legacy environments.
- Strong understanding of data entities, relationships, grain, semantics, business measures, source-to-target mapping, and data lineage.
- Strong SQL skills, with the ability to explore and profile source data as part of discovery and modelling activities.
- Experience defining source-to-target mappings and identifying gaps, inconsistencies, and data quality issues across diverse data sources.
Nice to have
- Experience with large-scale analytics platforms.
- Experience with media, audience, or similarly complex behavioural data would be a plus.
What you get
- 100% Remote Work
- WFH allowance: Monthly payment as financial support for remote working.
- Career Growth: We have established a career development program accessible for all employees with a 360° feedback that will help us to guide you in your career progression.
- Training: For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and Educative.io, for example), English classes, books, conferences, and events.
- Mentoring Program: You can become a mentor in Zartis or you can receive mentorship, or both.
- Zartis Wellbeing Hub (Kara Connect): A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well.
Worth weighing
- No salary listed.
- Focus on legacy data structures may indicate challenges in data quality and documentation.
- The role involves significant collaboration with various stakeholders, which may require strong interpersonal skills and adaptability.
Summarised from Zartis's posting. Read the full original.
Listed by Zartis on their lever job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
More roles at Zartis
- .NET Software ArchitectEuropean Timezone
- Senior Backend Engineer - Gen AIEuropean Union
- Senior Fullstack EngineerEuropean Union