Senior Data Architect

Billigence is a Business Intelligence, Data Analytics & AI consultancy with a global reach bringing insights to our customers and delivering the best business outcomes using data. We provide professional services in areas including Data Governance, Cloud Architecture, Data Engineering, Data Insights, and more. Our mission is to transform the way people work with data.   

Get to know us better at our LinkedIn, Cocuma profile or Instagram ⭕ 

About the role:

Thanks to our growing customer base, we're looking for a Senior Data Architect who builds, leads, and delivers. You'll design cloud data solutions, drive client engagements, and contribute to proposals that close deals. Technical depth is a must – but so is the ability to lead a room.

What will you do:

• You'll get into the details, own the technical direction, and make things happen – across engineering, client work, and everything in between 

• You'll design and build data pipelines and architectures that are production-ready – using Databricks or Snowflake, Azure, dbt,  Matillion, or whatever the right tool is for the job. You set the standard, review the work, and make sure quality doesn't slip when deadlines get tight 

• You'll lead client engagements end-to-end – from the first requirements call to architecture sign-off. That means translating business problems into clean technical solutions
  and being the person in the room who both sides trust 

• You'll help with pre-sales too – as someone who shapes the proposal, runs the PoC, and gives clients confidence before the contract is even signed. 

• You'll grow the team – mentoring junior engineers, sharing knowledge through tech sessions and webinars, and creating an environment where people actually get better at their craft 

• And when you see something that could be smarter, faster, or more automated? We love to hear it! 

What do we expect: 

• Proven experience in data engineering and solution architecture – you've led complex, enterprise-scale deployments and have the client scars to prove it 

• Deep hands-on experience with Azure as your primary cloud platform – Data Factory, Synapse, ADLS, and the broader Azure ecosystem 

• Strong practical experience with Databricks and Snowflake – you've designed and delivered production solutions on both 

• Solid track record of building data warehouses on-prem and in the cloud, with strong data modeling fundamentals 

• Experience writing technical proposals and RFP responses – you can translate architecture decisions into language that wins deals 

• Comfortable engaging with stakeholders at all levels – from engineers to C-level stakeholders who want the big picture 

• Conceptual understanding of ML and GenAI architectures – you know where they fit and how to design for them 

• Hands-on, proactive, and able to take a project from whiteboard to production without losing momentum 

• Fluent Czech and English on a professional level 

What can you expect:

• Work on international projects using cutting-edge data tools – seriously, the best tech available   

• Solid benefits package:
  extra 10 days of leave, Multisport card, generous annual learning budget, open bonus structure, local and international knowledge sharing sessions, and more 

• Hybrid flexibility – we meet in the Prague office regularly (around 2–3 days a week), and you’re free to choose what works best for you beyond that 

• AI-friendly by default – we stay current, experiment with new tools, and treat AI as a genuine work partner 

• Genuinely collaborative culture, that actually means something: real teamwork, support, knowledge sharing, flexibility and fun  

• Continuous learning and development to keep your skills sharp  

• A diverse, global team of friendly data professionals, who really get along  

• If you're a keen sportsman, you'll find plenty of company here 🏃‍♀️ 

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