For our Client from pharma industry, we are currently looking for:

☁️ Staff Databricks & Cloud Solution Architect (AI Applications)

ONLY CONSULTANTS LOCATED IN POLAND ARE CONSIDERED FOR THIS POSITION

📍 Location: Warsaw, Poland

🏢 Work model: Remote

📅 Start date: ASAP, to be agreed

Recruitment language: English

Recruitment process: 2 steps with the direct Client

Role overview:

We are looking for a Staff Databricks & Cloud Solution Architect to help design and enable AI and data applications that consume governed enterprise data from Databricks and run on Azure-based cloud infrastructure. This is a hands-on architecture role for someone who can bridge across Databricks, Azure, GitHub, DevOps, and security. The role is not about pure Databricks platform ownership — the successful candidate needs strong enough Databricks experience to work effectively with Databricks platform teams, shape data access patterns, and guide AI/application teams consuming Databricks data. This role owns architectural design and technical standards but is not accountable for platform or application delivery. Solutions are currently non-GxP, but the architecture must support future GxP validation readiness through traceability, controlled releases, documentation, and audit-ready engineering practices.

Your responsibilities:

• Design solution architectures for AI and data applications that consume data from Databricks
• Define Databricks consumption patterns for governed access, reusable data products, Unity Catalog, lineage, permissions, and secure integration with downstream applications
• Partner with internal Databricks experts on lakehouse architecture, workspace patterns, data governance, access models, and platform constraints
• Help teams design practical patterns for AI applications, RAG solutions, agents, analytics products, and data-driven workflows using Databricks-backed data
• Design Azure application architectures that integrate with Databricks, APIs, storage, identity, networking, monitoring, and runtime services
• Use Terraform to define repeatable cloud and application infrastructure patterns
• Support the migration from Azure DevOps to GitHub Enterprise and help establish GitHub-based CI/CD standards
• Define GitHub standards for repositories, branching, pull requests, reusable workflows, approvals, deployment gates, and release traceability
• Establish engineering patterns for controlled releases, automated testing, documentation, versioning, and audit-ready delivery
• Ensure appropriate security controls are embedded into architecture, including identity, secrets management, private connectivity, RBAC, logging, and monitoring
• Collaborate with data, AI, engineering, platform, security, quality, and business teams
• Mentor engineers and help teams adopt better Databricks, Azure, GitHub, and DevOps practices

Requirements:

• Strong hands-on experience with Databricks in enterprise environments
• Experience with Databricks Lakehouse, Unity Catalog, Delta Lake, Databricks SQL, jobs/workflows, data access controls, and governed data consumption
• Ability to design integration patterns between Databricks and downstream applications, AI agents, APIs, analytics products, or data services
• Strong understanding of data product design, reusable datasets, lineage, quality controls, and access governance
• Strong experience with Microsoft Azure, including identity, networking, storage, compute, monitoring, and integration services
• Strong experience with Terraform for infrastructure provisioning and repeatable deployment patterns
• Strong experience with GitHub Enterprise, GitHub Actions, repository governance, pull requests, branch protection, reusable workflows, and release management
• Experience with Azure DevOps, ideally including migration from Azure DevOps to GitHub
• Understanding of secure software delivery, release traceability, deployment approvals, and audit-ready engineering practices
• Practical understanding of cloud security fundamentals: Key Vault, managed identities, service principals, RBAC, private endpoints, secrets management, logging, and monitoring
• Ability to operate as a hands-on architect who can define standards, review designs, support implementation, and troubleshoot issues with engineering teams

Nice to have:

• Experience with AI applications consuming Databricks data (RAG, Azure OpenAI, AI agents, ML workflows, analytics applications)
• Experience with MLflow, feature pipelines, model serving, or MLOps patterns
• Experience with GitHub Advanced Security, code scanning, secret scanning, dependency scanning, or policy-as-code
• Experience with containers, Azure Container Apps, Kubernetes, Azure Functions, or similar runtime platforms
• Experience in life sciences, pharma, healthcare, clinical data, or other regulated data environments
• Familiarity with GxP, CSV, CSA, SDLC controls, validation documentation, or validation-ready architecture

Contact person: nicola.urbanska@eworkgroup.com

Client codes: MM03, HN04