At a Glance
- Tasks: Guide enterprise customers in deploying Databricks on their preferred cloud platform.
- Company: Join Databricks, a leading Data and AI company with a global presence.
- Benefits: Enjoy competitive pay, comprehensive benefits, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and contribute to innovative data solutions.
- Why this job: Make a real impact by architecting secure, scalable cloud solutions for top enterprises.
- Qualifications: 4+ years in solutions architecture and strong coding skills in Python and PySpark.
The predicted salary is between 63000 - 77000 £ per year.
As an Infrastructure & Platform Specialist Solutions Engineer, you will serve as a trusted technical advisor, helping enterprise customers with the architecture, administration, and security of their Databricks deployments on their cloud of choice (AWS, Azure, or GCP). You combine solid technical expertise with a growing ability to connect architecture decisions to customer outcomes.
The Impact You Will Have
- Guide enterprise customers through the full lifecycle of Databricks on their cloud platform, including platform administration from initial architectural design to production deployment.
- Architect secure, scalable enterprise deployments that satisfy complex cloud networking (virtual networks, private connectivity), identity (cloud IAM and enterprise identity providers), and security compliance standards.
- Act as a technical specialist in core areas such as cloud infrastructure, infrastructure-as-code (IaC), cloud networking, and identity management.
- Support technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions.
- Collaborate with cross-functional resources (DSAs, SAs, FDE, Partners) to contribute to solutions for complex customer needs.
- Operate with growing autonomy on well-scoped engagements, with guidance from senior architects on the most complex designs.
- Influence product direction by providing structured feedback on customer requirements and competitive gaps.
What We Look For
- 4+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role.
- Strong expertise across the following areas:
- Security & Identity: Cloud security controls, platform/network/data security, encryption, vulnerability management, compliance, and identity protocols. This includes cloud-native IAM (AWS IAM, Microsoft Entra ID / Azure AD, Google Cloud IAM), enterprise identity services (AWS IAM Identity Center, Entra ID, Google Cloud Identity), and federation standards (SCIM, OAuth, SAML, OIDC).
- Networking & Deployments: Enterprise cloud networking (VPC/VNet design and peering, dedicated interconnects such as AWS Direct Connect / Azure ExpressRoute / Google Cloud Interconnect, and private connectivity such as AWS PrivateLink / Azure Private Link / GCP Private Service Connect), network routing, performance optimisation, and large-scale deployment management.
- Platform Administration: High availability, disaster recovery, cluster orchestration, observability and audit (e.g. Amazon CloudWatch / CloudTrail, Azure Monitor, Google Cloud Operations Suite), and cloud cost management.
- Infrastructure Automation (InfraOps): Hands‑on automation using IaC tools (e.g. Terraform, plus cloud-native tooling such as AWS CloudFormation / CDK, Azure Resource Manager / Bicep, or Google Cloud Deployment Manager) to build, maintain, and scale complex cloud environments.
- Strong coding proficiency in Python and PySpark/Spark: you must demonstrate live coding, debugging, and solution-building skills.
- Solid grounding in distributed data systems architecture: scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
- Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g. real-time/streaming, ML/AI, data governance, migrations).
- Ability to contribute to architecture discussions with senior technical stakeholders: whiteboarding, design reviews, and trade-off analysis.
- Track record of driving platform adoption and consumption growth within accounts.
- Contribute to Field Engineering thought leadership through customer‑facing content, workshops, and community engagement.
- Excellent communication skills: able to translate complex architectures into business value for both technical and executive audiences.
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience).
- Willingness to travel up to 30% as needed.
Nice to Have
- Databricks certifications (Data Engineer, ML, Platform).
- Cloud provider certifications at professional level (e.g. AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer; Azure Solutions Architect Expert; Google Professional Cloud Architect).
- Experience with competitive platforms (Snowflake, cloud-native data services, Azure Synapse, BigQuery), understanding the landscape you'll position against.
- Background in a data/AI company or cloud provider.
Infrastructure & Platform Senior Specialist Solutions Engineer in London employer: Triwill Group
OpenAI is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals passionate about AI and its transformative potential. With a commitment to employee growth, OpenAI offers ample opportunities for career advancement and skill development, all while maintaining a strong focus on ethical practices and user trust. Located in a vibrant tech hub, employees benefit from a dynamic work environment that encourages creativity and the sharing of diverse perspectives.
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We think this is how you could land Infrastructure & Platform Senior Specialist Solutions Engineer in London
✨Join Local Tech Meetups
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We think you need these skills to ace Infrastructure & Platform Senior Specialist Solutions Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Triwill Group.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Triwill Group and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Triwill Group
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Triwill Group uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.