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Jobgether

Data Architect

United Kingdom
Posted about 13 hours ago
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Data Architect

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Architect based in United Kingdom.

Lead the design of advanced, secure, and scalable data solutions supporting sophisticated digital marketing platforms.

You’ll shape data strategies and architectures that connect customer profiles, segmentation, journeys, and campaigns.

The role combines enterprise data architecture, modeling, governance, SQL, integration, and hands-on technical delivery.

You’ll work directly with customers to understand complex data environments and translate business requirements into practical architectures.

Your work will bring together diverse sources such as CRM, sales, and analytics data for real-time and batch marketing use cases.

You’ll also contribute to data migration, ingestion, performance optimization, security, privacy, and regulatory compliance.

This is a full-time remote consulting opportunity supporting enterprise clients across North America, with collaboration aligned to Central Time.

Accountabilities

  • Design and implement advanced data solutions across Adobe products, cloud platforms, and enterprise data environments in alignment with broader data strategies.
  • Work directly with customers to conduct data discovery, assess existing systems and business processes, and understand data sources, movement, granularity, formats, and dependencies.
  • Unify disparate data sources, including sales, CRM, analytics, and other enterprise systems, to support digital marketing use cases.
  • Lead the development of conceptual, logical, and physical data models tailored to customer requirements.
  • Define and promote standards for data quality, master data management, governance, modeling, tooling, security, privacy, and regulatory compliance.
  • Collaborate with cross-functional and cross-disciplinary teams to identify customer requirements and develop scalable, secure data architecture blueprints.
  • Design solutions that accommodate growing data volumes, evolving technology stacks, integrations, and changing customer objectives.
  • Prepare data lakes and real-time customer profiles for data ingestion and activation using REST APIs, Postman, and scripting to automate configuration and setup.
  • Develop and support data ingestion solutions for both streaming and batch processing, working closely with ETL and ELT pipelines.
  • Optimize data-query performance across platforms while maintaining required platform standards and guardrails.
  • Lead end-to-end data migration initiatives, ensuring data quality, integrity, security, and regulatory compliance throughout the process.
  • Apply Adobe Experience Platform capabilities, including available AI-powered tools, to support customer data and digital experience initiatives.

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.

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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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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

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Requirements

  • Bachelor’s degree or equivalent experience in Computer Science, Information Systems, Data Science, or a related discipline.
  • 10+ years of experience in data architecture, data modeling, and SQL, including substantial direct customer engagement.
  • Expert knowledge of customer-centric database modeling across relational, hierarchical, analytical, and modern data architectures, including RDBMS, columnar databases, data warehouses, BI environments, document databases, semantic layers, data lakes, OLTP, and OLAP.
  • Advanced SQL development skills, including functions, transformations, arrays, joins, stored procedures, and data analysis.
  • Proven ability to translate complex business requirements into scalable data architectures through structured workflow and process analysis.
  • Hands-on experience using or administering Adobe Experience Platform (AEP), including relevant AI capabilities.
  • Experience with programming or scripting languages such as Python or Bash.
  • Proven experience planning and executing large-scale data migration initiatives.
  • Strong understanding of data governance, quality, security, privacy, and regulatory requirements, including considerations around PII, PCI, HIPAA, and GDPR.
  • Deep industry expertise in at least one relevant sector, such as retail, telecommunications, healthcare, automotive, cloud, or streaming.
  • Strong organizational skills and the ability to manage priorities across multiple concurrent customer engagements.
  • Excellent communication and stakeholder-management skills, with the ability to explain complex data concepts clearly to technical and business audiences.
  • Real-Time CDP (RTCDP) certification is preferred.

Benefits

  • Full-time consulting engagement: Work on enterprise-scale data architecture initiatives and complex customer projects.
  • Remote work: Work remotely from the Netherlands while collaborating with international teams and clients.
  • International exposure: Support enterprise customers across the United States and Canada.
  • Flexible collaboration: Benefit from a remote-friendly working environment with core collaboration hours aligned to Central Time.
  • Professional development: Build expertise across data architecture, Adobe Experience Platform, cloud technologies, customer data, and AI-enabled solutions.
  • Technical variety: Work across data lakes, real-time profiles, streaming and batch ingestion, APIs, ETL/ELT, data modeling, and migration initiatives.
  • Strategic impact: Help shape secure, scalable data foundations that enable sophisticated customer experiences and digital marketing use cases.
  • Consulting experience: Develop customer-facing architecture, discovery, communication, and solution-design expertise.
  • Industry exposure: Apply your data architecture expertise across diverse enterprise industries and complex business environments.

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How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Location

United Kingdom

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