JCW Group
Base pay range
$150,000.00/yr - $180,000.00/yr
About the Role You’ll be the key specialist supporting Azure Data Factory and Databricks during a major cloud migration initiative. If you thrive in fast‑paced production environments—solving pipeline failures, optimizing Spark jobs, and keeping complex data workflows running—this role gives you real responsibility, visibility, and technical ownership.
Responsibilities
Support and troubleshoot Azure Data Factory pipelines and Databricks jobs across production environments.
Ensure stability, performance, and uptime of ETL/ELT workflows during cloud migration initiatives.
Perform root‑cause analysis on pipeline failures, Spark issues, cluster timeouts, and data mismatches.
Collaborate with engineering and DevOps teams to optimize workflows, deployments, and cloud integrations.
Qualifications
Strong experience with Azure Data Factory, Databricks, and Azure‑based data engineering.
Proven background in ETL/ELT processes, data integration, and orchestration.
Solid understanding of cloud data services (ADLS Gen2, Azure SQL, Databricks, Functions, etc.).
Hands‑on experience in monitoring, debugging, and optimizing production data pipelines.
Required Skills
Databricks
ETL/ELT processes
Data integration
Preferred Skills
Experience with Azure SQL
Knowledge of ADLS Gen2
Familiarity with Azure Functions
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Industries Banking
Location Charlotte, NC
#J-18808-Ljbffr
About the Role You’ll be the key specialist supporting Azure Data Factory and Databricks during a major cloud migration initiative. If you thrive in fast‑paced production environments—solving pipeline failures, optimizing Spark jobs, and keeping complex data workflows running—this role gives you real responsibility, visibility, and technical ownership.
Responsibilities
Support and troubleshoot Azure Data Factory pipelines and Databricks jobs across production environments.
Ensure stability, performance, and uptime of ETL/ELT workflows during cloud migration initiatives.
Perform root‑cause analysis on pipeline failures, Spark issues, cluster timeouts, and data mismatches.
Collaborate with engineering and DevOps teams to optimize workflows, deployments, and cloud integrations.
Qualifications
Strong experience with Azure Data Factory, Databricks, and Azure‑based data engineering.
Proven background in ETL/ELT processes, data integration, and orchestration.
Solid understanding of cloud data services (ADLS Gen2, Azure SQL, Databricks, Functions, etc.).
Hands‑on experience in monitoring, debugging, and optimizing production data pipelines.
Required Skills
Databricks
ETL/ELT processes
Data integration
Preferred Skills
Experience with Azure SQL
Knowledge of ADLS Gen2
Familiarity with Azure Functions
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Industries Banking
Location Charlotte, NC
#J-18808-Ljbffr