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Metro locations and moderate consulting brand, but specialized Databricks architect skills limit broad applicant pool.
Databricks and advanced data engineering skills are transferable but require platform-specific expertise.
Mandatory 10+ years and Databricks certification required, plus architecture leadership expectations.
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Provide architectural solutions and technology strategies for projects focused on Azure Databricks and data engineering implementations.
Collaborate with clients’ technology and operations leadership to design and configure future analytic goals and modern technology stacks.
Lead work streams or teams managing project components, ensuring compliance and efficient technology integration within defined project scopes.
Minimum 10 years programming experience including 7+ years in Data Engineering with Azure Databricks, Python, PySpark, and SQL.
Databricks Data Engineer Associate or Professional certification is mandatory.
Bachelor’s degree in Computer Science or related field.
Must be open to travel; experience in agile methodologies and full project lifecycle development required.
Experienced in defining and driving independent architectural projects and solutions within large consulting environments.
Demonstrated technical leadership with ability to manage complex projects and collaborate across globally distributed and offshore teams.
Strong client relationship building skills with prior involvement in practice development and sales pursuits related to data engineering solutions.