At a Glance
- Tasks: Design and implement innovative customer data solutions for major brands.
- Company: Leading consultancy in Data, CRM, and Marketing Technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Work with cutting-edge technologies like Snowflake and engage with top-tier clients.
- Why this job: Join a dynamic team and tackle complex customer data challenges.
- Qualifications: Experience in customer data architecture and strong communication skills.
The predicted salary is between 66150 - 80850 £ per year.
We are working with a leading Data, CRM and Marketing Technology consultancy looking to appoint a senior Customer Data Solutions Architect / Consultant to join its growing customer data and technology practice. 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
The technical environment
You'll work across a broad modern data and Marketing Technology ecosystem. Projects could involve technologies and capabilities including:
- Snowflake
- Single Customer View / SCV platforms
- 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.
What we're looking for
We're interested in people coming from customer data, data architecture, MarTech or technical consulting backgrounds. You might currently be working as a: Customer Data Architect, Data Solutions Architect, Solution Architect, CDP Architect, CRM Data Architect, Senior Data Consultant, MarTech Architect, Technical Consultant.
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.
The opportunity
You’ll be joining an established consultancy with significant expertise across data, CRM, analytics and Marketing Technology, working on complex customer transformation programmes for major organisations. Rather than being tied to one technology or vendor, you’ll have the opportunity to solve a wide variety of customer-data challenges – from designing an SCV from the ground up to modernising existing customer-data estates or enabling sophisticated CRM, personalisation and analytics capabilities. It’s an excellent opportunity for someone who combines strong technical customer-data knowledge with genuine consulting ability and wants to play a senior role in designing the next generation of customer-data solutions.
Senior Customer Data Solutions Architect / Consultant employer: Bodhi
Join a leading Data, CRM and Marketing Technology consultancy that values innovation and collaboration in the heart of London. With a strong focus on employee growth, you will have access to diverse projects and cutting-edge technologies, fostering a culture of continuous learning and professional development. Enjoy a hybrid work model that promotes work-life balance while engaging with major UK and international brands to tackle complex customer data challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Customer Data Solutions Architect / Consultant
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We think you need these skills to ace Senior Customer Data Solutions Architect / Consultant
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Bodhi, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Bodhi. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Bodhi
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
