Queen Square Recruitment
Data Platform Architect

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Data Platform Architect
Location: London
Working Pattern: Hybrid – 2 days per week onsite
Contract: 12 months
Rate: Up to £550 per day
Key Responsibilities
- Define and maintain the enterprise Databricks reference architecture, platform principles, and engineering guardrails.
- Establish workload decision frameworks covering serverless compute, job clusters, interactive compute, and SQL Warehouses.
- Design and govern Unity Catalog, including catalogs, schemas, workspaces, storage credentials, and external locations.
- Define enterprise identity, entitlement, RBAC, service-principal, and least-privilege access patterns.
- Establish cluster policies, tagging standards, budget controls, and platform cost governance.
- Define reusable patterns for ingestion, transformation, orchestration, CI/CD, observability, and data quality.
- Lead migration from legacy platforms and classic compute to appropriate Databricks-native and serverless architectures.
- Review solution designs, manage architectural risks, and resolve complex performance, scalability, and security issues.
- Monitor platform adoption, utilization, performance, and cost, driving continuous optimization.
- Evaluate emerging Databricks capabilities and translate them into practical enterprise patterns.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What We're Looking For
- 10–20 years' experience in data/platform architecture, with strong hands-on experience architecting and operating enterprise Databricks environments.
- Deep knowledge of Databricks, Unity Catalog, Delta Lake, Lakeflow, Workflows, and SQL Warehouses.
- Strong experience with identity, RBAC, data security, secrets management, networking, and audit solutions.
- Experience with platform automation, CI/CD, monitoring, cost governance, and performance optimization.
- Strong knowledge of AWS, including IAM, networking, private connectivity, storage, encryption, secrets management, and infrastructure as code.
- Experience translating platform capabilities into enterprise standards and architecture decision frameworks.
- Strong stakeholder management, technical leadership, architecture governance, and communication skills.
- Experience leading POCs, technology evaluations, architecture reviews, and senior stakeholder presentations.
- Experience working across multidisciplinary teams including data engineers, architects, governance specialists, analysts, and business stakeholders.


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Desirable Skills
- Databricks certification, such as Databricks Certified Data Engineer Associate/Professional or Solutions Architect.
- Experience establishing or supporting a Databricks Centre of Excellence.
- Terraform and Databricks Asset Bundles.
- AWS CodePipeline, CodeBuild, or GitHub Actions.
- Python, SQL, Spark, and REST APIs.
- Real-time/event-driven data architectures.
- Power BI, Tableau, or other analytical platforms.
- Data Mesh and data product architecture.
- Exposure to AI/ML workloads on Databricks.
- Experience working with globally distributed teams and enterprise-scale data platforms.
Primary Technologies
- Databricks | PySpark | Delta Lake | Unity Catalog | Lakeflow/Delta Live Tables | SQL | AWS | Git | CI/CD | Data Modelling
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