Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and delivery of cutting-edge data platforms using Databricks.
- Company: Join a top-tier consultancy driving data transformation in regulated industries.
- Benefits: Enjoy hybrid working, competitive salary, and a comprehensive package.
- Why this job: Be at the forefront of cloud-native technology and mentor future engineers.
- Qualifications: 10+ years in engineering, 2+ years with Databricks, and strong leadership skills required.
- Other info: Ideal for those passionate about data architecture and digital transformation.
The predicted salary is between 80000 - 120000 £ per year.
We’re working with a top-tier consultancy delivering large-scale data and digital transformation across regulated industries. They are seeking a Lead Data Platform Engineer to take ownership of the design, build, and leadership of modern data platforms, with a strong focus on Databricks and cloud-native tooling. This is a hands-on technical leadership role — ideal for someone who’s equally comfortable designing robust data architectures, leading engineering teams, and engaging in strategic conversations around delivery, best practices, and platform evolution.
Key Responsibilities
- Lead the design and delivery of production-grade, cloud-native data platforms
- Work across multiple concurrent projects, setting direction and ensuring engineering excellence
- Collaborate with stakeholders, including involvement in pre-sales and delivery estimation (>£1m)
- Embed best practices for data engineering workflows using Databricks and IaC
- Ensure platforms meet resilience, recovery, security, and compliance standards
- Mentor engineers and contribute to capability growth across the team
What You’ll Bring
- 10+ years in software/systems engineering roles
- 2+ years hands-on with Databricks (Professional-level certified)
- Proven track record leading engineering teams and delivering complex platforms
- Strong experience with Terraform and infrastructure-as-code best practices
- Background in designing both cloud-native and hybrid data architectures
- Solid understanding of cloud security, networking, and DR principles
- Experience working on major digital transformation or IT consolidation programmes
Tech Stack / Tooling
- Databricks, Spark, Delta Lake
- Terraform, GitHub/GitLab, Azure DevOps
- Cloud-native services: e.g. GCP (Dataflow, BigQuery), Azure, or AWS equivalents
- Jira, Confluence
- CI/CD and DevSecOps best practices
Certifications (Preferred)
- Databricks Certified Professional (Data or ML Engineer), ideally also Architect-level
- Cloud architecture certification (AWS, Azure, or GCP)
- Degree or MSc in Computer Science, Software Engineering, or similar
Lead Data Platform Engineer employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Platform Engineer
✨Tip Number 1
Familiarise yourself with Databricks and its ecosystem. Since this role heavily focuses on Databricks, having hands-on experience and understanding its features will set you apart. Consider working on personal projects or contributing to open-source projects that utilise Databricks.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience with cloud-native platforms. Attend industry meetups or webinars where you can connect with potential colleagues or mentors who can provide insights into the consultancy landscape.
✨Tip Number 3
Showcase your leadership skills by discussing past experiences where you led teams or projects. Prepare specific examples that highlight your ability to mentor engineers and drive engineering excellence, as these are key aspects of the role.
✨Tip Number 4
Stay updated on the latest trends in cloud security and infrastructure-as-code practices. Being knowledgeable about Terraform and best practices in cloud security will demonstrate your commitment to maintaining high standards in data platform engineering.
We think you need these skills to ace Lead Data Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and cloud-native platforms. Emphasise your leadership roles and any relevant projects that showcase your ability to design and deliver data platforms.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data engineering and how your background aligns with the consultancy's goals. Mention specific experiences that demonstrate your expertise in leading teams and delivering complex platforms.
Highlight Relevant Certifications: If you have certifications like Databricks Certified Professional or cloud architecture certifications, make sure to include them prominently in your application. This will help you stand out as a qualified candidate.
Showcase Your Technical Skills: Detail your technical skills related to the job description, such as your experience with Terraform, CI/CD practices, and cloud services. Use specific examples to illustrate how you've applied these skills in past roles.
How to prepare for a job interview at Omnis Partners
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Databricks and other tools in the tech stack. Highlight specific projects where you've designed and delivered cloud-native data platforms, as this will demonstrate your capability to lead in this role.
✨Demonstrate Leadership Skills
Since this is a leadership position, be ready to share examples of how you've successfully led engineering teams. Discuss your mentoring experiences and how you've contributed to team growth, as this will show your ability to inspire and guide others.
✨Understand the Business Context
Familiarise yourself with the consultancy's focus on enterprise data transformation. Be prepared to engage in strategic conversations about delivery and best practices, showing that you can align technical solutions with business goals.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and decision-making process. Think about challenges you've faced in previous roles, particularly around resilience, security, and compliance, and how you overcame them.
