At a Glance
- Tasks: Lead the design and delivery of complex data solutions for various client projects.
- Company: Join Snap, a company scaling up with strategic data projects across industries.
- Benefits: Enjoy remote work flexibility and a competitive salary between ÂŁ50,000 - ÂŁ80,000.
- Why this job: Be part of a curious and collaborative team that values mentorship and impactful work.
- Qualifications: Strong experience in data warehousing, SQL, and excellent communication skills required.
- Other info: We value potential over perfection; apply even if you're unsure about your fit!
The predicted salary is between 40000 - 64000 ÂŁ per year.
Senior Data Platform Consultant (Delivery)
Department: Data Engineering
Employment Type: Full Time
Location: Remote, UK
Reporting To: Mark Todkill
Compensation: £50,000 – £80,000 / year
Description
- Clear, specific examples of your work and impact
- Relevant experience aligned with the role’s focus
- A thoughtful response to any application questions
- A resume that highlights both what you did and why it mattered
Why this role exists…
What you\’ll be doing…
Your responsibilities will include:
- Leading the design and delivery of complex data solutions, including data warehouse builds and migrations
- Managing small teams or workstreams, delegating effectively, and ensuring high-quality outcomes across all deliverables
- Building strong relationships with senior client stakeholders, facilitating workshops, and aligning technical solutions with business goals
- Anticipating project risks, introducing contingency plans, and balancing the needs of clients, teams, and timelines
- Coaching junior consultants, providing feedback, and supporting their development through hands-on guidance
- Contributing to internal initiatives, sharing knowledge, and helping shape delivery best practices across the team
- Leading the delivery of a data warehouse migration or greenfield build
- Coaching a junior consultant through their first project
- Receiving strong client feedback on your leadership and communication
What you\’ll need to succeed…
You might be a great fit if you have:
- Strong experience in data warehousing (ideally Snowflake), SQL, and ETL tools (ideally Matillion)
- Experience designing data models and leading technical delivery
- Excellent communication and project management skills
- A commercial mindset and ability to align data work with business goals
- A purely hands-on technical role without leadership or client-facing responsibilities
- A role focused on data science or theoretical analytics
Our hiring process…
- TA Interview (30-45 mins)– An introductory conversation with a member of our internal recruitment team
- Technical Deep Dive (60 mins)– A technically focussed interview with one of our Senior or Principal Data Platform Consultants
- Final Round (60 mins)– An interview with a member of our Senior Leadership Team to assess overall fit, both technically and culturally.
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Senior Data Platform Consultant (Delivery) employer: Snap Analytics
Contact Detail:
Snap Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Platform Consultant (Delivery)
✨Tip Number 1
Familiarise yourself with the latest trends in data warehousing, especially around Snowflake and ETL tools like Matillion. This knowledge will not only help you during interviews but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Prepare specific examples of past projects where you led a team or delivered complex data solutions. Highlight your role in these projects and the impact they had on the business, as this aligns perfectly with what we’re looking for.
✨Tip Number 3
Practice articulating how you align technical solutions with business goals. Being able to communicate this effectively will show that you have the commercial mindset we value in our Senior Data Platform Consultant.
✨Tip Number 4
Engage with our company culture by researching our values and recent projects. During your interviews, reference how your personal values align with ours, particularly around collaboration and curiosity, to make a strong impression.
We think you need these skills to ace Senior Data Platform Consultant (Delivery)
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to showcase your experience in data warehousing, SQL, and ETL tools like Matillion. Provide clear examples of past projects where you led the design and delivery of data solutions.
Craft a Strong Resume: Your resume should not only list your responsibilities but also explain the impact of your work. Use metrics and specific outcomes to demonstrate how your contributions made a difference.
Thoughtful Application Responses: Take time to thoughtfully respond to any application questions. Reflect on your leadership experiences and how they align with the role's requirements, particularly in managing teams and client relationships.
Showcase Your Coaching Skills: If you have experience mentoring or coaching junior consultants, be sure to include this in your application. Highlight how you’ve supported their development and contributed to team success.
How to prepare for a job interview at Snap Analytics
✨Showcase Your Impact
Prepare clear and specific examples of your previous work, focusing on the impact you made. Highlight how your contributions led to successful outcomes in data projects, especially in areas like data warehousing and migrations.
✨Align Experience with Role Requirements
Make sure to align your relevant experience with the key responsibilities of the Senior Data Platform Consultant role. Discuss your expertise in SQL, ETL tools, and data modelling, and how these skills will help you lead projects effectively.
✨Demonstrate Leadership Skills
Since this role involves managing teams and mentoring junior consultants, be ready to discuss your leadership style. Share examples of how you've successfully guided teams or individuals in past projects, and how you plan to do the same in this role.
✨Prepare for Technical Questions
Expect a technical deep dive during the interview process. Brush up on your knowledge of data warehousing technologies, particularly Snowflake, and be prepared to discuss your approach to designing data solutions and managing project risks.