At a Glance
- Tasks: Design and implement scalable data architectures for a transformative data function.
- Company: Join a dynamic team in a growing tech environment with a focus on data innovation.
- Benefits: Enjoy a hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Collaborate with senior stakeholders and lead innovative data projects in a supportive culture.
- Why this job: Shape the future of data architecture and make a real impact across the organisation.
- Qualifications: Experience in data architecture and strong skills in data modelling and governance.
The predicted salary is between 54000 - 84000 € per year.
An exciting opportunity has arisen for an experienced Data Architect to join a growing data function undergoing significant transformation. The successful candidate will shape enterprise-wide data architecture, ensuring high-quality, well-governed, scalable data solutions that support operational, analytical, and regulatory needs. This role suits someone who is confident designing end-to-end data architectures, working across complex technology landscapes, and engaging senior business and technical stakeholders.
Key Responsibilities
- Data Architecture & Modelling: Design conceptual, logical, and physical data models. Create and maintain data architecture blueprints covering ingestion, integration, storage, lineage, and consumption. Apply appropriate modelling techniques. Lead design reviews and ensure models align with business needs and domain boundaries.
- Data Governance & Metadata Management: Contribute to data governance frameworks, ownership models, and stewardship processes. Build and maintain business glossaries, data dictionaries, and metadata standards. Ensure adherence to governance policies including lineage, retention, access control, and security. Support governance forums and drive consistent data definitions across the business.
- Data Quality Architecture: Embed data quality rules and controls across ETL/ELT and streaming pipelines. Develop data quality metrics, monitoring frameworks, and alerting mechanisms. Work with engineering teams to automate profiling, scoring, and remediation. Ensure data quality and lineage are embedded in reusable architectural patterns.
- Stakeholder Engagement & Requirements Leadership: Lead discovery sessions to translate business needs into architectural data requirements. Communicate architectural decisions to senior stakeholders. Navigate ambiguity and align product teams, SMEs, and governance bodies. Prepare high-quality documentation and present to review boards when required.
- Delivery Governance & Technical Leadership: Oversee the implementation of data architecture standards across engineering teams. Provide technical guidance on integration, ingestion, transformation, orchestration, and storage. Conduct design assurance to meet non-functional requirements (performance, resilience, cost). Coach engineers, analysts, and stewards on modelling, governance, and data quality practices.
Skills & Experience:
- Proven experience as a Data Architect or Solution Architect with strong data focus.
- Expertise in conceptual, logical, and physical data modelling.
- Strong knowledge of data governance, metadata, stewardship, and glossaries.
- Experience embedding data quality controls and monitoring into pipelines.
- Familiarity with cloud data platforms (Snowflake, Databricks, Synapse, BigQuery, Redshift).
- Ability to manage complex stakeholder landscapes and lead architectural design.
- Ability to create high-quality architectural artefacts and documentation.
Data Architect employer: Cyber Security training courses
Join a forward-thinking organisation as a Data Architect, where you will play a pivotal role in shaping enterprise-wide data architecture within a dynamic and supportive work environment. With a hybrid working model that promotes work-life balance, the company offers excellent opportunities for professional growth, collaboration with senior stakeholders, and the chance to lead innovative data governance initiatives. Embrace the unique advantage of being part of a transformative data function that values your expertise and fosters a culture of continuous improvement.
Contact Detail:
Cyber Security training courses Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field and let them know you're on the hunt for a Data Architect role. You never know who might have the inside scoop on an opportunity or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous data architecture projects. This could be anything from data models you've designed to governance frameworks you've implemented. A visual representation of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've navigated complex stakeholder landscapes and led architectural designs. Practice articulating your thought process clearly, as communication is key in this role.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for the Data Architect position. Plus, it shows you're genuinely interested in joining our team and helps us keep track of your application.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Architect role. Highlight your experience with data modelling, governance, and quality controls. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your past work that relate to the responsibilities listed in the job description.
Showcase Your Technical Skills:Don’t forget to mention your familiarity with cloud data platforms like Snowflake or Databricks. We love seeing candidates who can navigate complex technology landscapes, so make sure to highlight those experiences!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Data Models
Make sure you brush up on your conceptual, logical, and physical data models. Be ready to discuss how you've designed these in the past and how they align with business needs. Having specific examples at hand will show your expertise and confidence.
✨Understand Data Governance
Familiarise yourself with data governance frameworks and be prepared to talk about your experience with metadata management and stewardship processes. Highlight any contributions you've made to governance policies, as this is crucial for the role.
✨Engage Stakeholders Effectively
Think about how you've led discovery sessions in the past. Be ready to share examples of how you've translated business needs into architectural requirements and communicated decisions to senior stakeholders. This will demonstrate your ability to navigate complex stakeholder landscapes.
✨Showcase Your Technical Leadership
Prepare to discuss how you've overseen the implementation of data architecture standards and provided technical guidance to teams. Share experiences where you've coached others on modelling and data quality practices, as this will highlight your leadership skills.
