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Senior, specialized data-engineering leadership role reduces applicant density despite metro location and known brand.
Data engineering and cloud tooling skills transfer across industries, but require domain-specific platform experience.
Requires deep data platform, cloud, and leadership expertise with multiple mandatory technologies.
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Lead and mentor a data engineering team managing cloud and on-premise data platforms, ensuring technical and delivery standards.
Design, build, and maintain scalable data architectures, ETL pipelines, and support cloud migration, emphasizing Azure and related Azure services.
Drive operational excellence, AI adoption, and cross-functional collaboration while managing production data processes and reporting progress to leadership.
Experience in big data engineering, cloud data platforms (Azure preferred), ETL development, and event streaming systems like Kafka or Azure Event Hub.
Strong skills in Python, advanced SQL, database development (Oracle, MySQL, PostgreSQL, SQL Server), UNIX/Shell scripting, and JSON/API integrations.
Work Experience Required: Not explicitly mentioned in the JD.
Preferred experience or exposure to Databricks, Apache Airflow, Kubernetes, Apache Spark, and Agile delivery methodologies.
Technical leader with hands-on expertise in modern data engineering, cloud migration (especially Azure), and AI-enabled automation.
Proven ability to make independent technical decisions, manage stakeholder communication, and balance strategic vision with technical leadership.
Experienced in managing distributed teams, driving team capacity planning, and leading operational improvements in scalable data platforms.