Databricks Specialist, Azure Databricks Consultant
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Job Description
Databricks Specialist at Arctiq developing scalable data solutions within Azure Databricks environments. Focused on modern data pipeline design and collaborating with cross-functional teams.
Responsibilities:
- Design, develop, and optimize scalable Azure Databricks data pipelines
- Implement Declarative Automation Bundles / Asset Bundles for repeatable multi-environment deployments
- Build production-grade Lakeflow / Delta Live Table pipelines
- Develop reusable PySpark notebooks, workflows, and modular code packages
- Create CI/CD deployment patterns using GitHub Actions
- Manage infrastructure deployment patterns using Terraform + Databricks Asset Bundles
- Implement best practices for monitoring, alerting, testing, observability, rollback strategies
- Optimize data workloads for cost, cluster efficiency, job runtime, performance
- Support governance using Unity Catalog, schema management, and permissions
- Partner with architecture teams on enterprise lakehouse modernization initiatives
- Support AI/ML enablement teams with curated feature and training data pipelines
Requirements:
- 4+ years in data engineering or cloud data platform roles
- 2+ years focused on Databricks implementations
- Experience supporting enterprise data modernization initiatives
- Strong understanding of DevOps and software engineering best practices for data platforms
- Comfortable working in client-facing consulting or augmentation environments.
Benefits:
- Health insurance
- Professional development
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