[Hiring] Databricks Platform Architect @Lean Solutions Group

Role Description

As an Architect in the Databricks practice, you will lead the architecture and implementation of enterprise-scale Databricks platforms. You will bring deep expertise in the Databricks platform, cloud infrastructure, security, governance, and infrastructure-as-code to help clients establish secure, scalable, governed, and production-ready Lakehouse environments.

• Own the Databricks platform architecture and foundation.
• Define how Databricks is deployed, governed, secured, automated, and operated across enterprise environments.
• Serve as a senior technical advisor to clients and engineering teams.
• Establish platform standards and architectural patterns that enable data engineering, analytics, AI/ML, and GenAI workloads at scale.

Qualifications

• 10+ years of experience in data, cloud, platform engineering, or architecture.
• Significant experience designing and delivering enterprise data platforms.
• Deep hands-on expertise architecting and implementing Databricks platforms in production environments.
• Expert-level knowledge of Unity Catalog, including metastore design, catalog/schema strategy, permissions, RBAC/ABAC, row-level security, column masking, lineage, auditing, and governance patterns.
• Strong hands-on experience implementing Databricks infrastructure using Terraform.
• Deep understanding of Databricks account and workspace architecture, compute, networking, identity, storage, security, and governance.
• Strong knowledge of Delta Lake, Lakeflow Declarative Pipelines, Databricks Workflows, Databricks SQL, and batch/streaming architecture.
• Experience designing CI/CD and DevOps practices for Databricks.
• Strong understanding of Azure and the cloud-native networking, identity, security, and storage services required to operate Databricks securely.
• Experience designing platforms supporting multiple workload types.
• Ability to translate enterprise security, governance, compliance, and operational requirements into practical Databricks architecture and implementation patterns.
• Proven ability to lead complex platform implementations and provide technical direction across multidisciplinary engineering teams.
• Exceptional communication skills with the ability to explain architecture decisions and trade-offs to both deeply technical teams and executive stakeholders.

Requirements

• Databricks professional-level certifications or equivalent demonstrated platform expertise (Nice to Have).
• Experience designing multi-workspace, multi-environment, and multi-business-unit Databricks architectures (Nice to Have).
• Experience with Databricks platform migrations, cloud modernization, or enterprise Lakehouse adoption programs (Nice to Have).
• Experience establishing FinOps, observability, disaster recovery, business continuity, and platform operating models for Databricks (Nice to Have).
• Experience creating enterprise reference architectures, reusable Terraform modules, platform accelerators, and architectural standards (Nice to Have).

Benefits

• Join a powerful tech workforce and help us change the world through technology.
• Professional development opportunities with international customers.
• Collaborative work environment.
• Career path and mentorship programs that will lead to new levels.