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Mid-level, metro hybrid data-platform role with common cloud and Databricks skills yields moderate applicant competition.
Cloud data platform skills like Azure, Synapse, Databricks are highly transferable across industries.
Requires explicit 3+ years plus specific Azure/Databricks platform skills, so moderate filtering.
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Design, implement, and operate cloud-based enterprise data platform solutions supporting analytics, AI, and business applications.
Ensure secure, efficient, and scalable data storage, processing, and availability on cloud infrastructure with an emphasis on operational excellence and platform reliability.
Collaborate with IT, data engineering, analytics, security, and business teams to integrate, govern, and manage the platform across development, test, and production environments.
Bachelor's degree in Computer Science, Engineering, IT, Data Engineering, or a related technical field.
Minimum 3 years of experience in cloud platform, data platform, or infrastructure engineering roles.
Strong experience with cloud platforms, preferably Microsoft Azure and AWS, and related data services such as Azure Data Factory, Azure Synapse Analytics, and Databricks.
Experience with data integration, storage, transformation, and understanding of data governance, security, and identity management principles.
Experienced in designing and supporting modern cloud data platforms with a focus on automation, reliability, and scalability.
Skilled at working in a hybrid, agile, and collaborative global environment interfacing with diverse IT, analytics, and business stakeholders.
Familiarity or interest in AI/ML platforms and data architectures to enhance platform capabilities.