Director, Data Engineering

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Requirements:

• At least 12+ years of experience in data engineering, data warehousing, and/or business intelligence roles.
• Experience scaling and managing 10+ person teams.
• Strong familiarity with distributed computing and data storage mechanisms on the cloud environment (e.g. AWS/GCP/Azure) with hands-on experience in managing data infrastructure.
• Track record of delivering scalable and innovative solutions, leveraging cutting-edge technologies for data warehousing and machine learning such as Kafka, DBT, Databricks.
• Excellent leadership and communication skills with ability to influence and collaborate with stakeholders.
• Advanced degree in Computer Science, Data Science, or a related field.
• Advanced proficiency with Python, Java, or other OOP languages (at least 2).
• Advanced proficiency with SQL.

Responsibilities:

• As a Director of Data Engineering, you’ll be responsible for roadmapping and implementing a vision for a scalable analytics data platform.
• Establish best practices that achieve operational excellence in data availability, data quality, and data privacy.
• Collaborate with the data science and data analytics teams to deliver high-impact data assets.
• Design and implement data pipelines and transformation workflows that are optimized for flexibility and data quality, leveraging best-in-class tools for transformation.
• Lead, mentor, and scale the data engineering team, cultivating a culture of innovation, learning, and excellence.
• Partner with product, engineering, and analytics teams to understand their data needs and translate their business requirements to scalable technical solutions.
• Stay on top of industry trends, emerging technologies, and best practices for data processing, storage, compute and ML development.
• Develop and maintain robust governance frameworks, ensuring processes for monitoring, observability, and testing are in place to safeguard data integrity and availability.