Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand, mid-level generalist title, and metro hiring increase candidate competition.
Databricks and Azure cloud skills are transferable broadly, but large-scale migration experience adds moderate domain bias.
Explicit 6+ years requirement plus mandatory Databricks, Azure Synapse, and migration experience make filters strict.
Job Description
Structured overview of role & requirementsAbout This Role
Lead and execute Azure Synapse to Databricks migration projects, including workload assessment, ETL migration, and performance optimization.
Build and scale data engineering teams while mentoring junior engineers to enhance team capabilities.
Manage Databricks environments focusing on cluster management, performance tuning, cost optimization, and implementation of data governance and security measures.
Minimum Requirements
6+ years of experience in data engineering or analytics roles.
Bachelor’s degree in computer science, Information Technology, or a related field.
Strong hands-on experience with Databricks (Spark, Delta Lake, MLflow) and Azure Synapse Analytics, including migration projects.
Proficiency in SQL, Python, Spark, Databricks cluster management, CI/CD pipelines, and version control tools (e.g., Git).
Ideal Candidate Profile
Experienced in leading large-scale cloud data modernization and migration programs within enterprise environments.
Demonstrates expertise in data architecture, data modeling, and cloud-native data solutions with strong analytical and problem-solving skills.
Capable of effective communication and stakeholder management, balancing independent work with collaborative team dynamics.