
Data & Analytics Engineering Manager
1 day ago
What You'll Do
The Global Analytics & Insights (GAI) team is seeking a Data & Analytics Engineering Manager to lead our team in designing, developing, and maintaining data pipelines and analytics infrastructure. As a Data & Analytics Engineering Manager, you will play a pivotal role in empowering a team of engineers to build and enhance analytics applications and a modern data platform using Snowflake, dbt (Data Build Tool), Python, Terraform, and Airflow. You will become an expert in Avalaras financial, marketing, sales, and operations data. The ideal candidate will have deep SQL experience, an understanding of modern data stacks and technology, demonstrated leadership and mentoring experience, and an ability to drive innovation and manage complex projects. This position will report to Senior Manager.
What Your Responsibilities Will Be
- Mentor a team of data engineers, providing guidance and support to ensure a high level of quality and career growth
- Lead a team of data engineers in the development and maintenance of data pipelines, data modelling, code reviews and data products
- Collaborate with cross-functional teams to understand requirements and translate them into scalable data solutions
- Drive innovation and continuous improvements within the data engineering team
- Build maintainable and scalable processes and playbooks to ensure consistent delivery and quality across projects
- Drive adoption of best practices in data engineering and data modelling
- Be the visible lead of the team- coordinate communication, releases, and status to various stakeholders
What You'll Need to be Successful
- Bachelor's degree in Computer Science, Engineering, or related field
- 10+ years experience in data engineering field, with deep SQL knowledge
- 2+ years management experience, including direct technical reports
- 5+ years experience with data warehousing concepts and technologies
- 4+ years of working with Git, and demonstrated experience using these tools to facilitate growth of engineers
- 4+ years working with Snowflake
- 3+ years working with dbt (dbt core preferred)
Preferred Qualifications:
- Snowflake, Dbt, AWS Certified
- 3+ years working with Infrastructure as Code, preferably Terraform
- 2+ years working with CI CD, and demonstrated ability to build and operate pipelines
- Experience and understanding of Snowflake administration and security principles
- Demonstrated experience with Airflow
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