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Data Solutions Architect (DevOps Engineer)



Polna 11



Technologies we use


  • Azure DevOps

  • AWS

  • Kubernetes

  • Git


  • Enterprise Architect

Your responsibilities

  • Be actively involved in pre-sales activities proposing solutions, suitable delivery approach & estimating effort required to design and implement solutions,

  • Develop strategies to solve complex technical challenges,

  • Propose innovative, cloud based solutions in Data Lakehouse area and participate in delivery for clients from variety of industries,

  • Optimizing and developing continuous integration and delivery, as well as being involved in the integration of new cloud technologies and the conception of infrastructures

  • Cooperate with other team members in the course of all project stages, providing expert support, adjusting proposed solutions and sorting out identified problems,

  • Collaborate with other technical and non-technical team members, clients, and vendors in technology neutral language to define, build, and deliver solutions,

  • Train, coach, and supervise less experienced teammates,

  • Actively contribute to shaping and development of our data practice value proposition.

Our requirements

  • At least 5 years of commercial experience in the field of Cloud Data Solutions Architecture, DevOps Engineering, or Cloud Data Engineering,

  • Very good understanding and hands-on experience in designing Data Platform solutions (data warehouse, data lake, data lakehouse) on at least one of the Public Clouds (preferred Azure or AWS),

  • Very good understanding and hands-on experience in handling CI/CD tools,

  • Experience with solutions handling streaming data,

  • Handling complex ETL/ELT/EtLT pipelines,

  • Understanding of Data Governance related concepts and tools,

  • Supporting development teams with containerizing applications (Kubernetes), shell scripting, Git, branching strategies,

  • Good command of English (C1 level),

  • Valid Solutions Architect certification (preferred Azure DP-500 or AWS SAP-C02).


  • Knowledge of Apache open-source technologies,

  • Experience in designing and maintaining hybrid (cloud and on-premise) infrastructure

  • Data modeling with Enterprise Architect,

  • Knowledge of external data lakehouse technologies (Snowflake, Databricks), as well as database transformation tools (dbt, DLT),

  • Experience as a tech leader.

What we offer

  • Participation in large-scale international projects with both international and Polish clients;

  • Various external and internal training sessions, including Microsoft and Celonis certifications;

  • Work in a growing, dynamic team, focused on development of new technologies;

  • Private medical care for employees and their families;

  • A rich package of social benefits (including Multisport card)


  • private medical care

  • sharing the costs of professional training & courses

  • life insurance

  • remote work opportunities

  • flexible working time

  • dental care

  • extra social benefits

  • employee referral program

  • charity initiatives

In case you have any additional questions, contact us: [email protected].


At PwC innovative and technological projects are our everyday life. As a consulting company, we have the advantage that we can work with clients from various industries around the world.

The company has 8 offices in Poland - Warsaw, Cracow, Katowice, Wroclaw, Gdansk, Poznan, Lublin, Lodz. Our Polish companies employ 6.500 people, including 1.500 people in technology teams. You can be one of us - join our community of solvers!

Data Practice at PwC Data & BI is a group of 50 professionals helping our clients to become data-driven organizations and take advantage of data they collect & process by delivering full-scale, cloud based data & analytics platforms and reporting solutions. We cooperate with clients from a variety of industries e.g. manufacturing, financial services, automotive, energy, FMCG etc.

Currently we are looking for experienced Data Solutions Architect (Senior DevOps Engineer) to join our Data Practice.

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