Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data architecture and engineering, mentor teams, and engage with clients for optimal outcomes.
- Company: Join Blue Wolf Digital, a dynamic SaaS product organisation focused on data excellence.
- Benefits: Enjoy remote work, excellent pay, bonuses, and opportunities for professional growth.
- Why this job: Be part of a collaborative culture, drive innovation, and make a real impact in data management.
- Qualifications: 7+ years in Data Engineering/Architecture, strong leadership, and hands-on expertise in modern data tools.
- Other info: UK-based applicants only; previous retail experience is a plus.
The predicted salary is between 54000 - 84000 £ per year.
Remote (Must be UK based)
Excellent remuneration + bonus
I'm currently working with a SaaS product organisation who are expanding their data engineering team with a key senior hire, working directly with the CDO.
Responsibilities
- Data Ownership: Drive the design, development, and evolution of data models across multiple domains and clients. Serve as an expert in the SaaS platform, ensuring consistency and best practices in all data-related aspects.
- Technical Leadership: Lead and mentor other data engineers, fostering technical excellence and effective use of data platforms. Establish and promote best practices for data engineering within the organisation.
- Client Engagement: Collaborate with client delivery teams to optimise platform usage and drive successful outcomes. Support critical phases like discovery, scoping, and problem resolution.
- Training and Documentation: Develop comprehensive training programs and documentation to scale knowledge sharing within the company. Ensure training materials and guides are up-to-date and accessible to stakeholders.
- Strategic Collaboration: Partner with the Chief Data Officer (CDO), Chief Technology Officer (CTO), Product Director, Head of Product Architecture, and other teams to align on strategy and execution. Contribute to the evolution of the product to support business objectives.
Required Skills
- 7+ years experience in Data Engineering/Architecture (or similar).
- Extensive experience in data engineering, including designing and managing complex data models and solutions.
- Proven leadership and mentoring abilities within technical teams.
- Strong communication skills, with the ability to engage effectively with clients and stakeholders at all levels.
- Hands-on expertise in modern data platforms, tools, and technologies, such as:
- Advanced data modelling - operational and analytical
- Python, SQL
- Databricks, Spark
- Orchestration frameworks such as Dataform, Airflow, and GCP Workflows.
- Modern architecture and cloud platforms (GCP, AWS, Azure)
- DevOps practices
- Data warehouse and data lake design and implementation
- Familiarity with containerization and IaC tools (e.g. Docker, Kubernetes, Terraform).
- Worked within an agile environment (Scrum, Kanban, etc).
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: IT Services and IT Consulting
Principal Data Architect employer: Blue Wolf Digital
Contact Detail:
Blue Wolf Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Architect
✨Tip Number 1
Make sure to showcase your leadership experience in data engineering. Highlight any instances where you've mentored others or led projects, as this role requires strong technical leadership.
✨Tip Number 2
Familiarise yourself with the specific data platforms and tools mentioned in the job description, such as Databricks, Spark, and GCP. Being able to discuss your hands-on experience with these technologies will set you apart.
✨Tip Number 3
Prepare to discuss your experience in client engagement. This role involves collaborating with delivery teams, so be ready to share examples of how you've optimised platform usage and driven successful outcomes for clients.
✨Tip Number 4
Since the role involves developing training materials, think about your past experiences in knowledge sharing. Be prepared to talk about how you've created training programmes or documentation that helped scale knowledge within your team.
We think you need these skills to ace Principal Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and architecture, especially focusing on the skills mentioned in the job description. Use specific examples to demonstrate your leadership and mentoring abilities.
Craft a Compelling Cover Letter: Write a cover letter that addresses the key responsibilities of the role. Explain how your background aligns with the company's needs, particularly in areas like data ownership and client engagement.
Showcase Relevant Projects: Include details about specific projects you've worked on that relate to the technologies and methodologies listed in the job description, such as Python, SQL, and modern data platforms. This will help illustrate your hands-on expertise.
Highlight Communication Skills: Since strong communication skills are essential for this role, provide examples of how you've effectively engaged with clients and stakeholders in previous positions. This could be through successful project outcomes or training initiatives you've led.
How to prepare for a job interview at Blue Wolf Digital
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with modern data platforms and tools. Highlight specific projects where you designed complex data models or implemented solutions using technologies like Python, SQL, and cloud platforms such as GCP or AWS.
✨Demonstrate Leadership Skills
Since the role involves mentoring other data engineers, share examples of how you've led teams in the past. Discuss your approach to fostering technical excellence and promoting best practices within a team environment.
✨Engage with Client Scenarios
Prepare to talk about your experience collaborating with client delivery teams. Think of specific instances where you optimised platform usage or resolved critical issues during project phases like discovery and scoping.
✨Emphasise Strategic Collaboration
The role requires working closely with senior stakeholders like the CDO and CTO. Be ready to discuss how you've aligned strategies across different teams in previous roles and contributed to product evolution to meet business objectives.
