At a Glance
- Tasks: Lead technical sales for Databricks, design solutions, and engage with clients.
- Company: Leading tech consultancy focused on Salesforce, Data, Cloud, and AI solutions.
- Benefits: Competitive salary, benefits, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and continuous learning.
- Why this job: Make a real impact in a dynamic environment while working with cutting-edge technologies.
- Qualifications: 3+ years in pre-sales or solutions consulting, hands-on Databricks experience required.
The predicted salary is between 70000 - 90000 £ per year.
- London
- £100,000 - £120,000 Base (Depending on experience) + Benefits
Our client is a leading technology consultancy specialising in Salesforce, Data, Cloud and Artificial Intelligence solutions.
They partner with ambitious organisations to deliver large-scale digital transformation programmes, helping businesses modernise legacy environments, improve data quality, and unlock the full value of their information assets.
Working across multiple cloud ecosystems, the organisation takes a vendor-neutral approach, selecting the most appropriate technologies for each client's unique challenges rather than promoting a single platform.
Artificial Intelligence is a core part of the Organisation's strategy and delivery capability rather than an afterthought.
Backed by a dedicated AI Innovation function, significant investment, and a culture that encourages experimentation, the business continuously explores emerging technologies and applies them to real client challenges.
This is an environment where technical excellence, collaboration and innovation go hand in hand.
You'll work alongside highly experienced consultants on complex transformation programmes, gaining exposure to cutting-edge technologies while helping shape the future direction of both client solutions and the wider practice.
If you're motivated by solving technically challenging problems, enjoy working with modern data platforms, and want to play a key role in a growing practice, this opportunity offers both influence and long-term career development.
The Role
This Databricks Pre-Sales Consultant position offers the opportunity to make a genuine impact on the growth of its Data & AI practice.
You'll act as the technical authority throughout the sales lifecycle for Databricks opportunities, partnering with business development teams, collaborating with the Databricks field organisation, and supporting the continued growth of the Organisation's Databricks partnership programme.
Success in this role requires strong technical capability alongside excellent consulting and communication skills.
You'll lead discovery workshops, design solution architectures, build proof-of-concepts, and confidently engage with audiences ranging from technical specialists through to senior executive stakeholders.
Key Responsibilities
- Technical Pre-Sales
- Lead the technical sales process for Databricks opportunities from initial discovery through solution design, proposal creation and deal closure.
- Deliver engaging demonstrations, proof-of-concepts and reference architectures that clearly articulate business value.
- Facilitate technical workshops to understand customer challenges and define appropriate solution approaches.
- Present complex technical concepts confidently to engineers, architects, technical leadership and C-level executives.
- Collaborate closely with Databricks account teams to identify and develop joint opportunities.
- Practice Growth
- Develop reusable technical assets including reference architectures, demonstration environments, accelerators and best practice documentation.
- Support the Organisation's Databricks partnership objectives by contributing towards certifications, competencies and customer success stories.
- Assist in developing industry-specific propositions and go-to-market offerings.
- Remain current with new Databricks capabilities including areas such as Mosaic AI, Unity Catalog, serverless technologies and future platform developments.
- Work closely with sales teams to improve technical qualification, positioning and customer engagement.
- Share market and customer insights with marketing and leadership teams to strengthen go-to-market messaging.
- Contribute to the development of services that complement Databricks engagements and support long-term client success.
Skills & Experience
- At least three years' experience in a customer-facing pre-sales, solutions consulting or technical architecture role.
- Practical hands‑on experience working with Databricks, supported by at least one relevant certification.
- Experience deploying and integrating Databricks within AWS, Microsoft Azure or Google Cloud Platform.
- Proven ability to conduct technical discovery workshops, define solution scope, build proof‑of‑concepts and present technical solutions to both technical and executive audiences.
- Demonstrated experience influencing enterprise technology sales, including large‑scale six and seven‑figure opportunities.
• Strong expertise in one or more of the following areas
- Lakehouse architecture and modern data engineering
- Enterprise data warehouse migration from platforms such as Snowflake, Synapse or Teradata
- Machine Learning, Generative AI or Mosaic AI within Databricks
- Unity Catalog, governance and modern data management
- Established relationships within the Databricks ecosystem.
- Previous experience working for a Databricks consultancy partner or Databricks directly.
- Knowledge of complementary or competing technologies including Snowflake, Azure Synapse, dbt or similar data platforms.
About You
- You'll be someone who combines deep technical knowledge with strong commercial awareness, able to translate complex technology into practical business outcomes.
- You enjoy engaging with customers, solving challenging technical problems and helping organisations make informed technology decisions.
- You’ll also demonstrate
- The confidence to work independently and take ownership without requiring detailed direction.
- Excellent communication skills with the ability to build credibility across both technical and business audiences.
- A structured approach to solving complex, undefined customer challenges.
- A genuine enthusiasm for emerging technologies and continuous professional development.
- A customer‑first mindset, focused on delivering the right long‑term solution rather than simply closing opportunities.
- A collaborative attitude, contributing not only to customer success but also to the ongoing development of the Organisation's technical capability, partnerships and market presence.
- #J-18808-Ljbffr
Presales Solutions Architect employer: AGS
Join a dynamic and innovative team in London as a Data Engineer, where you'll have the chance to shape the future of our data platform while enjoying a hybrid work model. We pride ourselves on fostering a collaborative work culture that encourages professional growth and offers opportunities to take ownership of impactful projects. With a focus on data governance and cutting-edge technologies like Databricks, this role not only promises meaningful work but also the chance to be part of a forward-thinking organisation committed to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Presales Solutions 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 AGS!
✨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 Presales Solutions Architect at AGS.
✨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 AGS.
✨Apply Directly through Our Website
When you find a suitable opening like Presales Solutions Architect at AGS, 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 Presales Solutions 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 AGS, 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 AGS. 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 AGS
✨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 AGS!
✨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.