At a Glance
- Tasks: Lead customer engagement and drive innovation in data architecture and AI solutions.
- Company: Join Teradata, a leader in enterprise intelligence and data solutions.
- Benefits: Competitive salary, travel opportunities, and a chance to work with cutting-edge technology.
- Other info: Dynamic role with opportunities for growth and travel across Europe.
- Why this job: Be a trusted advisor and make a real impact on customer success across Europe.
- Qualifications: Strong technical skills in data, analytics, and cloud platforms; customer relationship experience.
The predicted salary is between 70000 - 90000 £ 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 additional language skills are a bonus Ability to travel and work across all of Europe #J-18808-Ljbffr
Customer Solution Architect employer: Teradata Group
At Teradata, we pride ourselves on fostering a dynamic work culture that empowers our employees to thrive through innovation and collaboration. As a Customer Solution Architect, you will benefit from extensive growth opportunities in a supportive environment that values your expertise and encourages professional development. Located in a vibrant European market, our company offers unique advantages such as the chance to engage with diverse clients and cutting-edge technologies, making it an exceptional place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Solution Architect
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Teradata Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Customer Solution Architect at Teradata Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Teradata Group.
✨Apply Directly through Our Website
When you find a suitable opening like Customer Solution Architect at Teradata Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Customer Solution Architect
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Teradata Group, 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 Teradata Group. 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 Group
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Teradata Group!
✨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.
