Solution Architect - Data Platform

You'll design data platforms and enterprise-scale data solutions on Azure, working across architecture, implementation, and client needs. The role combines hands-on architectural work with close collaboration with implementation teams and stakeholders, from shaping the solution to supporting its delivery.

About the Position

You'll design data platforms and enterprise-scale data solutions on Azure, working across architecture, implementation, and client needs. The role combines hands-on architectural work with close collaboration with implementation teams and stakeholders, from shaping the solution to supporting its delivery.

Responsibilities

• Gather requirements and translate business and technical needs into data platform architectures.
• Design enterprise-scale Data Platforms, Data Warehouses, Data Lakehouses, ETL processes, and Machine Learning solutions.
• Identify where AI can add value within a data platform and help clients translate potential use cases into practical platform requirements.
• Consider how data platforms should evolve to support AI-driven solutions, taking into account data availability, access, governance, and scalability.
• Define architecture across connectivity, authentication and authorization, CI/CD, data access, governance, scalability, and cost management.
• Work with clients on data strategy and help shape practical approaches to adopting and modernizing cloud data platforms.
• Prepare cloud adoption roadmaps, project documentation, estimations, and delivery timelines.
• Support implementation teams from concept through delivery, providing architectural guidance and helping resolve complex technical challenges.
• Stay close to evolving Data Platform and AI architecture patterns and assess how new capabilities can be applied to real project needs.

Requirements

• Strong practical knowledge of Azure and its data platform ecosystem.
• Experience designing and implementing enterprise-scale Data Platforms, Data Warehouses, Data Lakehouses, or Delta Lake solutions.
• Hands-on experience with Databricks, including modern capabilities such as Delta Live Tables and Unity Catalog.
• Good understanding of Azure infrastructure, networking, and identity components.
• Very good understanding of the Data perspective of the Cloud Adoption Framework and basic understanding of the Enterprise perspective.
• Experience designing architecture covering connectivity, authentication, authorization, CI/CD, data access, governance, scalability, and cost management.
• Experience working directly with clients and different technical and business stakeholders.
• Very good command of English.

We Offer

• Competitive salary range of 150 – 200 PLN per hour.
• Opportunity to work in a dynamic and innovative environment.
• Collaborate with experienced Data & AI experts across different areas, technologies, and enterprise projects.
• Work across the Microsoft, Databricks, and Snowflake ecosystems, with new technologies regularly explored and applied to real business challenges.
• Real autonomy to take ownership of your scope and independently organize how you deliver the agreed outcomes.
• Flexibility that works around your life. Choose where you work best and organize your working hours with flexibility. Work remotely or book a desk in our office whenever you want to collaborate or meet the team in person.

About the Company

Elitmind is a consulting company. Projects, clients, industries, and technologies change. You'll collaborate with experienced people around you, but you'll also have a lot of freedom and responsibility for figuring out how to move your own area forward.

Help build Enterprise IQ

Build the Data & AI foundations behind more intelligent organizations, connecting data, analytics, AI, and business context to turn technology into better decisions, smarter actions, and measurable value.

Close to Microsoft

As one of Microsoft's key partners in Poland, we get early exposure to new technologies and solutions across the Microsoft ecosystem.

Strong Data & AI expertise

Collaborate with experienced Data & AI experts across different areas, technologies, and enterprise projects.

Technology that keeps moving

Work across the Microsoft, Databricks, and Snowflake ecosystems, with new technologies regularly explored and applied to real business challenges.

Different projects, different challenges

Our projects span different industries, technologies, and business contexts, so there's always something new to solve.

Real autonomy

Take ownership of your scope and independently organize how you deliver the agreed outcomes.

Flexibility that works around your life

Choose where you work best and organize your working hours with flexibility. Work remotely or book a desk in our office whenever you want to collaborate or meet the team in person.

Recruitment Process

1. HR conversation

   • We talk about your experience, motivation, and expectations, and give you the context you need to decide whether Elitmind makes sense for you.

2. Skills interview

   • You'll meet one of our experts and talk about your experience, previous projects, and how you approach real problems relevant to the role.

3. Final conversation

   • You'll meet the person responsible for the area to talk about projects, expectations, and mutual fit.

Whatever the outcome, you'll hear back from us. We provide feedback after our recruitment interviews because if you've invested your time in meeting us, you deserve to know where you stand.