At a Glance
- Tasks: Lead customer relationships and drive innovative data solutions.
- Company: Join Teradata, a leader in enterprise intelligence and AI.
- Benefits: Competitive salary, flexible work model, and a people-first culture.
- Other info: Diverse and inclusive workplace with growth opportunities across Europe.
- Why this job: Make a real impact by empowering businesses with cutting-edge data solutions.
- Qualifications: Strong background in data architecture and excellent communication skills.
The predicted salary is between 106720 - 160080 £ per year.
Our Company
At Teradata, we believe that people thrive when empowered with better information.
Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes.
With Teradata, organizations can provide agents with full context for impact when it matters.
Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach.
Teradata delivers real business value with AI.
What you'll Do
The Customer Solution Architect (CSA) is a strategic, customer-facing technical leader responsible for retaining, growing, and expanding customer ecosystems through technical engagement, advocacy, and solution leadership.
The CSA blends deep technical acumen in data architecture, analytics, AI, and cloud platforms with strong customer relationship skills to influence adoption, showcase value, and drive innovation.
As a trusted advisor, the CSA proactively engages customers to understand their business and technical landscapes, mitigate risks, and uncover growth opportunities.
Key Responsibilities
- Customer Advocacy & Relationship Leadership
- Build trusted relationships across customer organisations from technical leads to executive sponsors
- Act as a trusted advisor aligning technical strategy with business outcomes
- Monitor account health and lead remediation planning
- Provide structured customer feedback to influence product and roadmap direction
- Demonstrate and communicate delivered business value
- Adoption, Value Realisation & Innovation
- Drive adoption of platform capabilities and best practices
- Identify underutilised features and growth opportunities
- Deliver workshops, demos, and innovation sessions
- Define and develop new use cases aligned to customer strategy
- Ensure customers realise measurable outcomes and ROI
- Technical Opportunity Progression & Growth
- Lead technical discovery, architecture design, and solution scoping
- Develop and maintain a Technical Vision for Success
- Support sales activities including quoting, ordering, proposal development, and stakeholder communication across internal teams and the customer
- Influence architecture decisions and adoption strategies
- Drive revenue growth and expansion opportunities
- Technical Leadership & Execution
- Provide architectural leadership across data and cloud ecosystems
- Align execution with account strategies and business objectives
- Guide long‑term transformation and architecture direction
- Maintain expertise across relevant technologies and trends
- Contribute reusable assets and best practices
- Who You'll Work With
- Partner with Account Executives and the broader account team on strategy, planning, and opportunity development
- Engage directly with customer stakeholders ranging from DBAs and data architects to analytics leaders and CIO‑level executives
- Collaborate with Consulting Services on solution design and strategic engagements
- Work with Customer Services teams to ensure solution alignment and ongoing customer success
- Coordinate with Global Sales Support, Pricing, and Finance to shape offers and proposals
- Interface with internal Teradata product and technical SMEs to bring specialized expertise into customer engagements
- Support collaboration across sales, technical, and delivery teams to drive adoption of Teradata solutions
- What Makes You a Qualified Candidate
- Core Capabilities
- Strong expertise in data, analytics, and cloud architectures
- Experience designing and promoting enterprise‑scale analytical solutions
- Deep understanding of modern data platforms and AI trends
- Demonstrated ability to understand customer needs and provide thought leadership to influence and build trust at multiple levels
- Strong stakeholder management and communication skills
- Ability to translate business outcomes into technical solutions
- Degree‑level qualification or relevant experience in computer science, software engineering, mathematics, management information systems, or a related discipline
- Professional Experience
- Experience in solution architecture or technical consulting roles
- Proven customer‑facing experience in a technical pre‑sales role
- Exposure to complex enterprise environments and advanced data and analytics solutions
- Experience with Government deployments / use cases or Sovereign Cloud deployments would be an advantage
- Personal Attributes
- Strategic thinker with strong business acumen
- Outcome‑driven and value‑focused
- Influential communicator
- Passion for innovation and customer success
- Excellent verbal and written communication skills in English; additional language skills are a bonus
- Ability to travel and work across all of Europe
- Country: Belgium, Payrate: 106,720 EURO - 133,400 EURO - 160,080 EURO On‑Target Earnings
- Why We Think You’ll Love Teradata
We prioritize a people‑first culture because we know our people are at the very heart of our success.
We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work.
We focus on well‑being because we care about our people and their ability to thrive both personally and professionally.
We are an anti‑racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement.
It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
Teradata invites all identities and backgrounds in the workplace.
We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization.
We are proud to be an equal opportunity and affirmative action employer.
We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
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StudySmarter Expert Advice🤫
We think this is how you could land Customer Solution Architect in London
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We think you need these skills to ace Customer Solution Architect in London
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Teradata. 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 Teradata
✨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.
