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Transform

Senior/Lead Data Solutions Architect

London
Posted 14 days ago
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Senior/Lead Data Solutions Architect

Location: London or Manchester Work arrangement: Hybrid/Remote (on-site or weekly office/client travel depending on project/client phase)


About Transform

Transform is a fresh alternative to Big Consulting. We partner with clients from the public sector, government agencies, local authorities, health, energy, retail, finance, and beyond—helping them solve their biggest challenges and unlock their greatest opportunities.

As an end-to-end transformation partner, we design, build, and operate systems using strategy, data, AI, technology, and change management. Whether we manage our solutions long-term or hand them over for client-friendly maintenance, our commitment remains the same: creating meaningful impact.

Our core values?

  • We raise the bar
  • We look out for each other
  • We embrace our differences
  • We shape a changing world
  • We’re all in

The Role: Senior/Lead Data Solutions Architect

Your mission: Design and uplift data solutions—Single Customer Views, CDPs, Data Lakes, and data models—to support application development, marketing, sales, and research.

Your work will bridge Enterprise Architecture and Data Engineering, creating frameworks that translate business needs into scalable, robust data systems while empowering teams to deploy top-tier solutions tailored to clients across industries.


Key Responsibilities

  • Design and implement data architecture, modelling frameworks, and schemas using best-practice methodologies.
  • Collaborate with clients to define complex enterprise data needs, from conceptualisation to physical data models.
  • Leverage advanced data infrastructure—Single Customer Views (SCVs), Customer Data Platforms (CDPs), Data Warehouses, and Lakes—to unify disparate datasets for marketing/sales activation.
  • Explore cutting-edge technologies, protocols, and approaches in data modelling, AI, and cloud-native solutions.
  • Champion data quality by consulting publicly (client/risk-perception surveys), inputs (APIs, bulk/streaming platforms) and past/core datasets.
  • Manage multiple projects simultaneously, assessing needs, aligning teams, and ensuring optimal delivery.
  • Engage clients as a trusted technical leader, clarifying development requirements while using frameworks like Data Analysis and Governance.

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.

Start with a chat, not a search bar

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.

P

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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It searches the market for you

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.

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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

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.


Key Skills and Experiences

  • Proven experience with cloud infrastructure: Azure, AWS, GCP databases and AI-driven architectures.
  • Design data dictionaries, model governance standards, and meta-data systems to streamline business operations.
  • Deep knowledge of RDBMS (SQL Server/Azure Postgres, Snowflake, MySQL, MongoDB etc.) and NoSQL; handling SQL & PySpark Programming if required.
  • Data Warehouse/ELT/ETL expertise in platforms such as Databricks, Azure Data Factory, SSIS, Talend, Informatica/Palanthropic.
  • Designed and built SCV, CDP, or Data Warehouse platforms to harmonise marketing/sales purposes.
  • Ability to translate statistical methods for modelling client executions.
  • Buy-in for Agile scrum practices with a team-focused mindset.

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(Cultural mindset: A mindset of openness to growth, curiosity for AI advancements, and a problem-solving attitude to continuous improvement.)


Culture and Benefits

Join a team where we walk the talk:

  • Inclusive, collaborative, and transparency-driven work environment.
  • Empowering work with ongoing learning and development.

Offer:

  • 28 days holiday, plus option to buy/sell up to 5 days extra (with *3 days reserved for UK Christmas).
  • A records-marked leave for your birthday (adjusted for contractual holiday rules).
  • Pension match, private healthcare, life assurance.
  • 13 weeks paid Parentleave (Enhanced for dads, adoptees).
  • Other perks: Discounts for gym/cycle-to-work schemes/fashion retail, flexible benefits, social events.

Why This Matters to Us

We’re not just running a consulting firm—we’re building a rigorously compassionate, future-focused workforce, shaping change for people, cities, and organisations. Help us keep raising the bar.

Our goal is equality of opportunity for all. If you need adjustments during interviews or documentary submissions (e.g. extended test/accessibility support), we want to delight in including you. Reduce as many barriers as possible—we’re here to hear your voice.


Note: We kindly ask NO AI embellishments in this role’s application process. Your authenticity guides us—so be the true you; let data and passion sparkle.


Ready to discuss further? Reach out!

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Jessica, London

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Skills

Data Architecture
Data Modelling
Data Management
Data Engineering
Cloud Computing
SQL
NoSQL
Data Lakes
Data Warehousing
ETL
ELT
Python
Pyspark
Agile Methodology
Statistical Methods
Analytical Methods

Location

London, England, United Kingdom

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