Senior Customer Data Solutions Architect / Consultant

Bodhi
Greater London, UK
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Adobe Experience Manager Adobe Marketing Cloud Application Programming Interfaces (APIs) Cloud Database Cloud Engineering Databases Customer Data Management Data Architecture Data Deduplication Data Infrastructure Data Integration Extract Transform Load (ETL)
+12 more
Data Transformation Data Systems Data Warehousing Relational Databases Automation of Marketing Salesforce.Com SQL Databases Systems Integration Data Ingestion Snowflake Data Management User Identification

Job description

This is a senior, client-facing role sitting at the intersection of customer data, solution architecture, MarTech and analytics.

You’ll work with major UK and international brands to understand complex customer-data challenges, architect the right technical solutions and help lead their implementation.

Projects will range from the design and build of Single Customer Views (SCVs) and modern cloud-based customer-data platforms through to data integration, identity resolution, segmentation, analytics and the activation of customer data across CRM and Marketing Technology.

This is not a purely conceptual architecture position. We’re looking for someone who understands how modern customer-data solutions are actually designed and built and can work closely with engineering and delivery teams to turn architecture into working solutions.

What you’ll be doing

As a senior member of the team, you’ll act as both a technical authority and trusted client consultant, working across projects from initial discovery and solution design through to implementation.

Your responsibilities are likely to include:

  • Designing and architecting Single Customer View (SCV) solutions
  • Designing modern customer-data platforms and customer databases
  • Understanding complex client data estates and defining the appropriate target architecture
  • Bringing together customer, transactional, behavioural, digital and third-party data
  • Designing customer-data models and structures
  • Defining data ingestion, transformation and integration requirements
  • Designing approaches to identity resolution, matching, deduplication and data quality
  • Creating the data foundations required for segmentation, personalisation and customer analytics
  • Designing integrations between customer-data platforms and downstream CRM, MarTech, analytics and activation platforms
  • Working with technologies such as Snowflake and other modern cloud-data platforms
  • Running technical discovery and requirements workshops with clients
  • Translating marketing and business requirements into technical solutions
  • Producing solution architecture, technical specifications and implementation roadmaps
  • Working closely with data engineers, developers, analysts and MarTech specialists throughout delivery
  • Providing technical oversight during implementation
  • Advising senior client stakeholders on customer-data and technology strategy
  • Supporting pre-sales, solutioning, technical pitches and proposals for new client opportunities, * Customer Data Platforms / CDPs
  • Customer-data warehouses and databases
  • SQL and large-scale customer datasets
  • ETL / ELT and data transformation
  • APIs and systems integration
  • Identity resolution and customer matching
  • Segmentation and audience management
  • CRM and marketing automation platforms
  • Personalisation and decisioning technology
  • Customer analytics and reporting

Depending on the client environment, you may also encounter platforms such as Bloomreach, Braze, Adobe Experience Cloud / Adobe Experience Platform, Salesforce Marketing Cloud and Salesforce Data Cloud.

You don’t need to be an expert across every technology. What’s more important is a strong understanding of customer-data architecture and the ability to design an end-to-end solution using the right technologies for the problem.

Experience working with Snowflake or comparable modern cloud-data platforms would be particularly valuable.

Requirements

We’re interested in people coming from customer data, data architecture, MarTech or technical consulting backgrounds., You’ll ideally have experience across several of the following:

  • Designing and/or delivering Single Customer View solutions
  • Snowflake or modern cloud-data platforms
  • Data integration and transformation
  • Customer identity resolution and matching
  • CDP architecture and implementation
  • CRM and Marketing Technology ecosystems
  • Segmentation and customer analytics
  • Cloud-based data solutions
  • APIs and integration patterns
  • SQL and relational data concepts
  • Translating business requirements into technical architecture
  • Taking solutions from initial design through to implementation

Crucially, you’ll also need to be an excellent communicator.

This is a senior consulting position, so you’ll regularly work directly with client stakeholders across marketing, CRM, data, analytics and technology.

You’ll need to be comfortable running workshops, challenging requirements, explaining technical concepts to non-technical audiences and presenting your recommendations to senior stakeholders.

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