Lead Data Engineer

At Dynatrace, Information Systems Engineering manages and transforms data into information for decisionmakers. This includes assessment, design, acquisition and/or implementation of tools, stores and pipelines for turning data into information.
We are seeking a Lead Data Engineer who will provide key technical direction for and hands-on effort with a small team of data engineers supporting our Business Intelligence function.
A core role will be directing and helping to implement transformative pipelines of business data into our Snowflake environment. The ideal candidate will have experience and demonstrable skill with Snowflake, and Snowpark and Spark using Python. We are interested in candidates who can demonstrate technical leadership of at least small teams of data engineers, including mentoring and upskilling more junior members of the team.
Key responsibilities:
Lead the design, implementation, and maintenance of scalable data pipelines in the Snowflake eco-system including third party vendor tools such as AWS, Fivetran, etc.Key contributor to a Data Engineering strategy to ensure efficient data management for operations and enterprise analyticsKey technical expert for business stakeholder engagement on business data initiativesCollaboration with colleagues in Data Modeling, BI and Data Governance teams for platform initiativesProvide the technical interface to data engineering vendorsEnsure data engineering standards align with industry best practices for data governance, data quality, and data securityEvaluate and recommend new data technologies and tools to improve data engineering processes and outcomes
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