Senior Solutions Architect (AI)

Posted 4 Days Ago
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Budapest
In-Office
2M-2M Annually
Senior level
Analytics • Consulting
The Role
The Senior Solutions Architect (AI) designs solutions, engages with customers, supports sales efforts, and bridges the gap between sales and delivery within AI and data science projects.
Summary Generated by Built In

At DATAPAO, data ignites passion, community fuels collaboration, and growth knows no bounds. We are a leading Data Engineering and Data Science consulting company backed by Databricks and recognized for our unmatched delivery standards and rapid growth. We have been named Databricks EMEA Emerging Business Partner of the Year and have achieved a second consecutive appearance on the Financial Times FT1000 list.

We are currently seeking a seasoned Senior Solutions Architect (AI) to join our team.

What (exactly) will you do?

As a Senior Solutions Architect (AI), you’ll act as the technical expert supporting Datapao’s sales efforts — helping customers understand how our data science and AI solutions can address their challenges. You’ll bridge Sales and Delivery, ensuring a smooth handover, maintaining continuity, and keeping the engagement aligned with the customer’s original goals.

Your responsibilities will include:

Sales Support

  • Drive customer calls and discovery sessions to uncover technical needs and guide solution design

  • Lead scoping discussions and contribute to proposal creation with precise technical input.

  • Develop and deliver demos or proof-of-concepts that showcase Datapao’s data science or Databricks’ platform capabilities.

Customer & Account Engagement

  • Build long-term relationships as a trusted technical advisor for assigned accounts.

  • Track customer goals and evolving use cases, identifying new opportunities.

  • Collaborate with delivery teams to surface upsell or expansion opportunities from ongoing projects.

Delivery Quality

  • Stay connected with active projects to support technical consistency and alignment with goals.

  • Lead project syncs and help identify risks early, assisting in mitigation planning.

  • Provide technical guidance and maintain alignment between sales and delivery.

Sales Process Optimization

  • Improve how we scope and sell technical work by refining playbooks, templates, and processes.

  • Improve tooling used for scoping and automate estimation where possible.

  • Share best practices and insights to continuously improve our technical sales approach.

Solution Development & Technical Validation

  • Contribute to the design and go-to-market strategy of Datapao’s packaged and repeatable solutions.

  • Develop bespoke go-to-market solutions.

  • Provide technical input and validation for proposed data science solutions to ensure soundness and scalability.

Marketing & Thought Leadership

  • Create technical content (blogs, demos, reference architectures, solution guides) that supports awareness and lead generation.

  • Serve as a technical advocate and thought leader, strengthening Datapao’s technical credibility across customers and the Databricks ecosystem.

  • Represent Datapao at industry events, meetups, conferences, and Databricks field events, delivering demos, talks, and technical sessions.

  • Drive the development of materials that highlight Datapao’s expertise and customer success.
What does it take to fit the bill?

Soft Skills

  • Strong consulting mindset and passion for customer success — you advise and guide customers toward the best-fit technical solutions.
  • Excellent communication and presentation skills — you can clearly explain data science concepts to both business and technical audiences.

  • Ability to translate business needs into data science solutions and communicate trade-offs confidently.

  • Proactive ownership — you’re comfortable leading technical discussions, identifying gaps, and driving clarity in complex sales situations.

  • Fluent in English and willing to travel occasionally (mainly within the EU, up to ~10%).

Tech stack

  • Strong background in Data Science and ML concepts, including familiarity with Generative AI state-of-the-art solutions, current limitations, recent and upcoming changes, and modern frameworks/libraries.

  • Solid Python skills and understanding of common DS/ML libraries.

  • Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP).

  • Familiarity with data visualization tools and their data-source connectivity patterns (e.g., Power BI, Tableau, Databricks AI/BI), as well as experience with distributed computing (Spark) and MLOps.

  • Experience with Databricks is a plus.

What do we offer?

  • Educational benefits: There’s no shortage of learning opportunities at DATAPAO, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications. You'll also get dedicated time for learning during work hours and access to our internal library. 

  • Flexible PTO and Working Hours: We’re flexible about your working routine and how many days you take off if it does not conflict with customer success, company goals, and the work you do. 

  • Flexible Office: It is up to you which days you spend in the office. However, as a strong community is one of DATAPAO's value propositions, we’d expect you to spend one day per week in the office on average. 

  • 30 Calendar Days of Paternity Leave (if applicable): We think it’s essential for both parents to be there when it matters the most. 

  • Private Medical Insurance: We provide a private medical package via Generali. 

  • Employee Assistance Program (EAP): Through EAP, we offer our employees access to psychological, financial, and legal consulting services via phone or in person.

  • Top-notch working equipment: Working comfortably means working well. Therefore, you will get a MacBook, a Herman Miller office chair, standing desks in the office, and whatever else is needed to give your best.

  • The chance to make an impact in a high-transparency culture: Open feedback and a no-politics environment are things we value a lot at DATAPAO. Additionally, you'll get the chance to shape the future of a rapidly growing tech company, to work with cutting-edge technologies, and to help some of the biggest and most innovative companies in the world sort out their data puzzles.

  • A cozy and modern office in the heart of Budapest: Located in a vibrant, central part of the city (Opera/Oktogon), it's designed to foster focus, creativity, and team connection. You'll find open spaces for group work, quiet corners for deep thinking, and plenty of natural light. It’s well-stocked with snacks, drinks, coffee, and beverages. Optional Friday evening beers, movie, and wine-tasting nights with the team are also on us.

For this role, our gross salary ranges from gr. 1,700,000 to 2,300,000 HUF.

Want to know more about us?

DATAPAO is a data engineering and AI company that covers the entire data transformation from architecture to implementation. Beyond delivering solutions, we also provide data and AI training and enablement.

We are backed by Databricks - the creators of Apache Spark, and act as a delivery partner and training provider for them in Europe. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies, such as Norsk-Hydro, Richter, Bayer, Schufa, GetYourGuide, TechnoAlpin, and Logically, to name just a few.

As a training provider, we deliver onsite and online courses globally for Databricks and on our own. We have been teaching professionals at Apple, Amazon, Uber, Microsoft, T-Mobile, GE, Ericsson, and many more to improve their impact with data.

For even more insights, check the links below:

  • Designing and Implementing a Real-time Data Lake with Dynamically Changing Schema (EN) by Máté Gulyás (2021, Spark AI Summit)

  • Productionising Machine Learning models (EN) by Máté Gulyás (2023, Mndwrk Event)

  • "Ha a data governance jól működik, az olyan, mint egy láthatatlan szupererő” (HU) by Máté Gulyás (2023, Com-Forth Zóna Podcast)

You can also follow us on LinkedIn for all the good stuff or just hit our recruitment team at [email protected]

We’re firm believers in scaling up a team without judgment or prejudice. What we really care about is working with the best people out there, no matter their background. And you should also not worry if you don't tick every box in the requirements. If you’re passionate about data and learning new things, you’ll fit right in, and we'd love to hear back from you.

When we hear back from you, we'd like you to know that we are committed to your privacy and keeping your data safe. We do not share your data with any third parties (except the ones we use to run our recruitment process) and keep your application for two years unless you ask us otherwise. We use your data solely for recruitment purposes, such as letting you know about new career opportunities at DATAPAO and/or managing your application. But if you want to know more about how we store and manage your data, check our privacy policy.

Top Skills

AWS
Azure
Data Science
Databricks
GCP
Generative Ai
Machine Learning
Mlops
Power BI
Python
Spark
Tableau
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The Company
HQ: Budapest
0 Employees
Year Founded: 2016

What We Do

DATAPAO is a Data Engineering and Data Science consulting firm covering the entire data journey, including strategy, implementation, training, and innovation.

As a go-to Databricks partner since 2017, we are the one-stop solution to understand and leverage data better through Databricks, tackle the toughest data problems, and help organizations become data-forward.

Ready to speed up your data journey?

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