Databricks Architect - Enterprise Data Platform
- Code Base Inc.
2 Hours Ago
NA
C2C
Jersey City-NJ
11-15 Years
Required Skills: SQL, Python, Delta Lake, Medallion architecture, unity catalog, AWS, Azure, GCP, Azure DevOps, Jenkins, GitHub Actions, Airflow, Databricks certifications, Databricks SQL and dashboards, ML pipelines, MLflow, Kafka, Finance domain, Retail domain, healthcare domain
Job Description
We are seeking a highly skilled Databricks Architect to lead the design and implementation of next-generation data platforms built on the Lakehouse paradigm.
This role goes beyond pipeline development—you will own the Databricks platform architecture end-to-end, driving scalability, governance, performance, and cost optimization across enterprise data ecosystems.
Databricks Platform Architecture
- Architect and implement enterprise-scale Databricks environments (dev/test/prod)
- Design secure, scalable Lakehouse architecture using Delta Lake
Data Engineering & Processing
- Build and optimize high-performance data pipelines using Apache Spark (PySpark / Scala)
- Implement Medallion Architecture (Bronze, Silver, Gold)
- Develop batch and real-time streaming pipelines using Structured Streaming
Governance, Security & Compliance
- Implement fine-grained access control using Unity Catalog
- Define enterprise-wide data governance, lineage, and auditing
Performance & Cost Optimization
- Optimize workloads using partitioning, caching, and Photon engine
- Design cost-efficient cluster strategies (autoscaling, spot instances, DBU optimization)
- Monitor and improve query and pipeline performance at scale
Cloud Integration
- Architect Databricks solutions on AWS / Azure / GCP
- Integrate with cloud-native services (AWS S3/Glue, Azure ADLS/ADF, etc.)
AI Skills
- Experience with Agentbricks and AI agents at scale to build use cases
- Production and establish guardrails with AI use cases
Must-Have Skills
- Advanced proficiency in SQL and Python
- Hands-on experience with Delta Lake, Medallion Architecture, and Unity Catalog
- Strong experience with at least one cloud platform (AWS / Azure / GCP)
- Experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions)
- Knowledge of workflow orchestration tools (Airflow or equivalent)
Good to Have
- Databricks certifications (Associate / Professional)
- Experience with Databricks SQL & dashboards
- Exposure to ML pipelines (MLflow)
- Experience with Kafka or event-driven architectures
- Domain experience in Finance / Retail / Healthcare
What Makes You a Great Fit
- Strong architectural mindset with ability to design scalable data platforms
- Deep understanding of performance tuning and cost optimization
- Ability to balance technical depth with business impact
- Excellent communication and stakeholder management skills
