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Protocol Intelligence
Data-driven signals on your job's competitivenessSpecialized Databricks/Spark skillset reduces applicant density despite metro location and mid-level experience.
Role demands Databricks/Spark data-platform expertise, limiting transferability across non-data-platform roles.
Requires explicit Databricks, Spark, Unity Catalog, Azure, and CI/CD experience, creating strict technical filters.
Job Description
Structured overview of role & requirementsAbout This Role
Manage and administer Databricks environments including workspaces, clusters, SQL Warehouses, and Unity Catalog components.
Develop, optimize, and support Apache Spark jobs and data engineering pipelines leveraging Delta Lake and Databricks features.
Implement governance, security, cost management, monitoring, and CI/CD for Databricks platform ensuring performance and compliance.
Minimum Requirements
4–6 years of experience with Databricks as an administrator or data engineer.
Strong hands-on Apache Spark programming skills (PySpark preferred; SQL or Scala also accepted).
Experience with Databricks Jobs, cluster configuration, SQL Warehouses, and Unity Catalog.
Working knowledge of Azure cloud platform and security, IAM, networking, and monitoring tools.
Ideal Candidate Profile
Experienced in both Databricks platform administration and Spark development with practical operational ownership.
Skilled in data governance, audit compliance, and security best practices in Databricks environments.
Proficient in cost optimization strategies, CI/CD pipelines, and cloud infrastructure integration for data engineering workloads.