Cloud Solutions Architect
Hands-on Staff Databricks & Cloud Solution Architect designing AI/data application architectures on Azure that consume governed data from Databricks (Lakehouse, Unity Catalog), using Terraform and GitHub Enterprise CI/CD, with security and audit-ready practices for a healthcare/pharma client. Up to 100% remote (Warsaw), B2B 12-month contract.
- Compensation
- Not disclosed
- Location
- Warszawa
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Full time
- Experience
- Not specified
- Category
- Architecture
- Posted
Skills
Must have
- Strong hands-on Databricks experience in enterprise environments
- Databricks Lakehouse, Unity Catalog, Delta Lake, Databricks SQL, jobs/workflows, data access controls
- Design integration patterns between Databricks and downstream apps, AI agents, APIs, analytics products
- Strong understanding of data product design, lineage, quality controls, access governance
- Strong Microsoft Azure experience (identity, networking, storage, compute, monitoring, integration)
- Strong Terraform experience for infrastructure provisioning
- Strong GitHub Enterprise / GitHub Actions experience, repo governance, branch protection, release management
- Experience with Azure DevOps, ideally including migration to GitHub
- Understanding of secure software delivery, release traceability, audit-ready engineering practices
- Cloud security fundamentals: Key Vault, managed identities, service principals, RBAC, private endpoints, secrets, logging
- Hands-on architect: define standards, review designs, support implementation, troubleshoot with teams
- Significant experience in Databricks/cloud/data platform architecture or senior data/cloud engineering roles
- Proven experience integrating Databricks with cloud applications, APIs, analytics or AI use cases
- Experience defining reusable architecture patterns, technical standards, implementation templates
- Experience with GitHub-based CI/CD and modern software delivery
- Experience working across data, cloud, engineering, platform, security and product teams
Nice to have
- AI applications consuming Databricks data: RAG, Azure OpenAI, AI agents, ML workflows
- MLflow, feature pipelines, model serving, MLOps patterns
- GitHub Advanced Security, code/secret/dependency scanning, policy-as-code
- Containers, Azure Container Apps, Kubernetes, Azure Functions
- Life sciences, pharma, healthcare, clinical or regulated data environments
- Familiarity with GxP, CSV, CSA, SDLC controls, validation-ready architecture
- Staff/Principal Engineer or Solution Architect senior role experience
- Experience migrating teams/platforms from Azure DevOps to GitHub Enterprise
- Experience in global enterprise environments with distributed teams
Full description
PROJECT INFORMATION:
Industry: Healthcare/ Pharmacy
Start: ASAP (flexible).
Rate: depending on experience.
Contract: B2B 12 months + prolongations.
Remote: up to 100%
Location: remote/ Warsaw.
Project language: English.
Business trips: some occasional included.
Recruitment process: 2 interviews.
Focus: 40% Databricks, 25% Azure, 25% GitHub / DevOps, 10% security
Job Description
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 a pure Databricks platform ownership role, but the candidate must have strong enough Databricks experience to work effectively with Databricks platform teams, shape data access patterns, and guide AI/application teams consuming Databricks data.
The ideal candidate has strong experience with Databricks Lakehouse, Unity Catalog, data access patterns, Azure cloud services, Terraform, GitHub Enterprise, GitHub Actions, and secure engineering practices. They should be able to define standards, design reference architectures, and work directly with engineering teams to implement practical solutions.
This role owns architectural design and technical standards but is not accountable for platform or application delivery.
The applications are currently non-GxP, but the architecture should support future GxP validation readiness through traceability, controlled releases, documentation, and audit-ready engineering practices.
Key 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.