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 A rchitecture, 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, w e'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

• Y ou '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, M ultisport 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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