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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro location and common senior technical title but requires specialized Databricks/Spark skills.
Databricks and Azure data skills are transferable, but retail EDW and client-facing support increase domain sensitivity.
Requires explicit Databricks/Spark/Azure data stack expertise and proven production and leadership experience.
Job Description
Structured overview of role & requirementsAbout This Role
Own design, development, and support of scalable data pipelines and processing workloads on Azure Databricks.
Provide technical leadership and architectural guidance for Databricks and the overall Data Platform, including performance tuning and production incident management.
Lead technical discussions, mentor engineers, and collaborate with client stakeholders, including supporting critical issues during US business hours.
Minimum Requirements
Strong hands-on experience with Azure Databricks, Apache Spark, PySpark, SQL, Delta Lake, and Medallion Architecture.
Proven expertise in designing and maintaining ETL/ELT pipelines and data processing workloads with performance tuning and troubleshooting.
Experience with Azure Data Factory, Azure Data Lake Storage, and integrating Databricks with enterprise data warehouses and applications.
Work Experience Required: Not explicitly mentioned in the JD; Must be willing to support during US business hours.
Ideal Candidate Profile
Experienced in retail or data-intensive enterprise environments, with familiarity of legacy EDW/SQL Server environments preferred.
Capable of technical leadership including mentoring, code reviews, release management, and platform modernization.
Able to independently manage client interactions and stakeholder communication under a client-facing delivery model.