Databricks Platform Architect
Experience: 13+ years of overall experience
Location: Remote, with occasional travel to client sites as required
What s in It for You?
Join a role that allows you to work with state-of-the-art cloud and data technologies, deepen your expertise in Databricks architecture, and drive performance and cost optimization across a scalable, global platform. This opportunity is ideal for enhancing skills in data engineering, security, and multi-region deployments, while collaborating with top industry professionals.
Job Description
Strong knowledge of Databricks architecture, including clusters, notebooks, jobs, and the compute and storage layers
Proven experience building and scaling Databricks as a global, multi-region platform
Expertise in Apache Spark, including Spark SQL, Spark Streaming, and MLlib
Familiarity with Delta Lake features such as ACID transactions and time travel
Skilled in Databricks SQL for data querying, analysis, and visualization
Ability to design and manage complex data pipelines and workflows using Databricks Jobs
Proficient in cluster configuration, autoscaling strategies, and performance tuning
Experience with Unity Catalog
In-depth understanding of AWS or Azure fundamentals, including storage, networking, IAM, and data security
Knowledge of VPC configurations, network security groups, and deployment architecture for Databricks
Ability to monitor, analyze, and optimize Databricks costsNice to Have
Cloud certifications (Azure, AWS, or GCP)
Experience with code repositories and CI/CD pipelines (e.g., AWS CodeBuild, CodePipeline, or equivalent)
Knowledge of data governance frameworks and data lineage tools
Experience delivering large-scale, multi-region programs
Educational Qualifications:
Bachelor s or Master s degree in Engineering (BE/ME/BTech/MTech/BSc/MSc)
Technical certifications in relevant technologies are a plus+
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