Senior Data Engineering Lead
2 days ago
This role is responsible for providing end-to-end leadership on key data initiatives to ensure the success of these initiatives within TD's scaled Agile delivery model. This includes leading design reviews and code reviews across PODs to ensure that all activities support a secure and stable solution.
A strong technical leader will provide technical guidance and mentoring to enhance the skills of their team members, develop code to implement complex solution frameworks or address issues/challenges with an implementation when needed, and define detailed system design for data integration processes or data marts/warehouse builds or extensions.
The ideal candidate will work across PODs, roles, and stakeholders to remove blockers and enable PODs to deliver optimally, lead the design and implementation of scalable ETL pipelines on Azure, ensuring data quality, reliability, and performance, and develop and manage data infrastructure in Azure.
Additionally, this role will automate ETL processes and optimize data workflows to reduce processing time and operational costs, implement data governance best practices, including data lineage, metadata management, and data quality controls to ensure compliance with industry regulations, and review and approve business and system specification requirements, author system design specifications, create or review estimates, and contribute to system deployment plans.
We are looking for a senior technical lead who has 10+ years of experience in data engineering with a focus on ETL pipeline development and at least 2 years working with Azure Cloud, extensive experience in data warehousing concepts and implementation, excellent executive-level communication skills with the ability to build positive relationships across teams, and expertise in ETL and data movement, including relational and big data.
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