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Sr. Data Architect with Fabric Experience

London
£110k – £120k/yr
Posted about 15 hours ago
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Sr. Data Architect with Fabric Experience

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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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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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.

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Strong

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.

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Strong

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Location: London Based - 3 Days in Office
Salary: Up to £120K

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Responsibilities:

  • Senior Data Architecture Experience: 10+ years of experience in data architecture, with a strong track record of designing, reviewing, and redesigning enterprise-scale data architectures and modern data platforms.
  • Architect the Data Ecosystem: Design and scale a unified enterprise data ecosystem, transitioning siloed systems into a modern Microsoft Fabric and Databricks Lakehouse environment supporting analytics, AI/ML, and business-critical reporting.
  • Design Unified Data Models: Develop conceptual, logical, and physical data models connecting customer, product, operational, and financial data across Salesforce, Sage Intacct, product telemetry, and other enterprise systems.
  • Lead Fabric & Lakehouse Architecture: Define and evolve Microsoft Fabric and Databricks architectures, including Bronze, Silver, and Gold/Medallion layers, scalable ingestion and transformation patterns, security, governance, and Unity Catalog.
  • Drive Data Governance & Quality: Establish data governance, master data management, golden-record standards, data lineage, metadata management, and proactive data-quality frameworks to ensure trusted and consistent enterprise data.
  • Enable Business & Financial Insights: Integrate CRM and ERP data to deliver accurate lead-to-cash visibility, revenue insights, and trusted data products for Sales, Product, Support, and Finance.
  • Modernize Data Engineering & Integration: Develop scalable data integration and migration patterns, including M&A onboarding, APIs, event-driven architecture, real-time pipelines, data-as-code, Git-based version control, and CI/CD for data workflows.
  • Business & Stakeholder Leadership: Translate complex data architecture into clear business outcomes, working effectively with technical and non-technical stakeholders while driving AI/ML readiness, advanced analytics, and long-term data strategy.
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Skills

Data Architecture
Microsoft Fabric
Databricks Lakehouse
Data Modeling
Data Governance
Master Data Management
CI/CD
Event-Driven Architecture
Unity Catalog
Medallion Architecture
API Integration
Stakeholder Management

Location

London, England, United Kingdom

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