Databricks Platform Engineer

Job Description & Summary

PwC is a global network of more than 370000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit consulting tax and technology combining knowledge from all over the world.

PwC SDC Lviv opened in 2018 is part of this global space. It is a place where technology is combined with team spirit and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan mentoring English and Polish language courses.
• Stability: Official employment from day one annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

PwC is seeking an experiencedDatabricks Platform Engineerto accelerate the maturation of our Databricks platform as a core component of the firms Data Mesh and AI-first strategy. This role will help shape the architectural direction governance model and enterprise standards that underpin secure and scalable Databricks adoption.

Role Overview

TheDatabricks Platform Engineerwill be responsible for executing against this strategy by driving service optimization implementing advanced platform capabilities and partnering with Product and Engineering teams to enable enterprise-scale adoption across client and corporate use cases.

Key Responsibilities:

• Implement advanced capabilities including Unity Catalog AI/ML models Delta Sharing Automatic Identity Management (AIM/SCIM) and Budget Policies for cost governance and tagging.
• Collaborate with Databricks and PwC platform teams to enhance and enable secure data exchange.
• Support networking design and optimization across Databricks environments.
• Partner with Product and Engineering teams to refine user experience service provisioning models and upcoming Databricks capabilities.
• Coordinate cross-functional efforts to enable AI-driven workflows and advanced analytics capabilities within Databricks.

Qualifications:

• 5 years of experience in data engineering cloud data platforms or platform architecture.
• 3 years of hands-on experience with Databricks or comparable modern data platforms.
• Expertise in Unity Catalog Delta Sharing Compute (classic and serverless) Microsoft Entra ID (SCIM/AIM) and Azure networking.
• Strong understanding of data governance access control models and FinOps best practices.
• Excellent communication skills with the ability to translate complex technical solutions into business value.

Preferred Qualifications:

• Databricks Certified Professional or Azure Databricks Certification.
• Hands-on experience with Databricks Microsoft Fabric / OneLake or other enterprise data platforms.
• Prior consulting experience or enterprise-scale platform transformation experience.

Policy statements:
Experience:

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