Role Databricks Architect

Skills Required Primary Skills Databricks certification must ,experience working on Databricks architecture for 5 years Job Description Key Role & Responsibilities Define lakehouse architecture: medallion (bronze/silver/gold) patterns, batch/streaming designs, and multi-workspace strategies. Design and implement data pipelines using Spark, Delta Lake, and Databricks workflows (Jobs/Workflows, DLT where applicable). Establish governance and security using Unity Catalog, access controls, lineage, and data quality gates. Optimise performance: cluster policies, autoscaling, partitioning, file sizing, caching, Spark tuning, and job orchestration. Build CI/CD and release governance for notebooks, repos, jobs, and infrastructure-as-code. Integrate Databricks with enterprise ecosystem (cloud storage, event streaming, data warehouse, BI tools). Conduct solution workshops with customers; provide options and trade-offs; create phased implementation roadmaps aligned to business value. Mentor teams, enforce engineering standards, and ensure operational excellence (monitoring, incident response, SRE practices). Must Have 12+ years experience with a strong Data Engineering background (ETL/ELT, distributed compute, production-grade pipelines). 5+ years hands-on Databricks experience in architecture/technical leadership roles. Strong experience in Apache Spark (PySpark/Scala), Delta Lake, pipeline design, and performance tuning. At least 1 Databricks Certification. Experience with data orchestration and DevOps practices (Git, CI/CD, testing frameworks). Experience designing secure data platforms (RBAC, secrets, network/security integration, compliance considerations). Strong customer-facing skills: requirements discovery, solution design, and stakeholder management. Good to Have Streaming experience (Kafka/Event Hubs, Structured Streaming, CDC patterns). ML/AI enablement experience (MLflow, feature engineering, model lifecycle) as it relates to platform design. Cloud certifications or platform-specific certifications. Education Bachelor s/Master s in Computer Science, Engineering, or related fields. Key Skills: Databricks, Python, Spark, Data Architecture, Data Pipelines Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .