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Databricks Solution Architect

Centraprise

We are looking for an experienced Databricks Solution Architect to design, architect, and implement enterprise-scale data and analytics solutions on the Databricks Lakehouse Platform. The ideal candidate will have strong expertise in Azure/AWS Databricks, Spark, Delta Lake, cloud data architecture, ETL/ELT modernization, and data governance. This role requires close collaboration with business stakeholders, data engineers, architects, and leadership to deliver scalable, secure, and high-performance data platforms. Key Responsibilities Design end-to-end enterprise data platforms using Databricks Lakehouse architecture. Lead solution architecture discussions with clients and recommend best practices for data modernization. Build scalable ETL/ELT pipelines using Databricks, Spark, Delta Lake, and cloud-native services. Design and optimize Medallion Architecture (Bronze, Silver, Gold) for enterprise data processing. Architect batch and streaming data pipelines using Structured Streaming, Auto Loader, and Delta Live Tables. Optimize Spark jobs, cluster configurations, partitioning strategies, and query performance. Design data models for analytics, reporting, and machine learning workloads. Implement CI/CD pipelines for Databricks using Azure DevOps, GitHub Actions, or Jenkins. Establish data governance, security, Unity Catalog, lineage, and access control policies. Work with cloud services including Azure, AWS, or GCP to build modern data platforms. Collaborate with business teams to gather requirements and translate them into technical solutions. Lead technical design reviews, architecture governance, and solution documentation. Mentor development teams on Databricks best practices and coding standards. Support production deployments, performance tuning, troubleshooting, and platform optimization. Required Skills 10+ years of experience in Data Engineering and Data Architecture. 4+ years of hands-on experience with Databricks. Strong expertise in Apache Spark (PySpark/Scala/Spark SQL). Experience with Delta Lake, Delta Live Tables, Unity Catalog, and Photon Engine. Strong SQL programming and performance tuning skills. Experience with Medallion Architecture and Lakehouse implementation. Knowledge of Data Warehousing and dimensional modeling. Experience with cloud platforms (Azure, AWS, or GCP). Expertise in Azure Data Factory, AWS Glue, or equivalent integration tools. Experience with Git, CI/CD pipelines, and Infrastructure as Code. Strong understanding of security, governance, and data quality frameworks. Preferred Skills Databricks Certified Data Engineer Professional or Databricks Certified Solution Architect. Experience with MLflow, Feature Store, and MLOps. Knowledge of AI/ML workloads on Databricks. Experience with Kafka, Event Hubs, or other streaming technologies. Familiarity with Power BI, Tableau, or other BI platforms. Experience with Terraform or ARM/Bicep for infrastructure automation. Knowledge of Unity Catalog governance and data lineage. #J-18808-Ljbffr Centraprise

Vacancy posted 1 day ago
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