Zendesk is looking for a Senior Staff Data Engineer to lead the design, development, and scaling of their enterprise data platform, which powers the next generation reporting and analytics platform. The goal is to ensure data platforms are reliable, observable, secure, and governed, while also providing practical insights into key business domains.
Requirements
- 7+ years of data engineering experience building, working & maintaining scalable data platforms
- 5+ years of experience with Cloud columnar databases (Snowflake, Google BigQuery etc)
- 3+ years of production experience with dbt and modern ELT pipelines.
- Extensive experience working with various data technologies and tools such as Airflow, Snowflake, Fivetran, DBT, AWS, GitHub Actions, Docker, Kubernetes, terraform.
- Hands-on experience with AWS services (S3, Glue, EMR, Athena, Snowpipe, Kubernetes, Terraform).
- Understanding of data governance, security controls, and access management.
- Intermediate experience with any of the programming language: Python, Go, Java, Scala, we use primarily Python
Responsibilities
- Lead data engineering projects at scale in a high visibility role working across multiple teams
- Successfully plan and deliver complex, multi-team or system, long-term projects, including ones with external dependencies
- Owns one or more large, mission-critical systems or multiple complex, team level projects, overseeing all aspects from design through implementation and operation
- Design and build end to end analytics solutions that provide practical insights into customer 360, finance, product, sales and other key business domains; can do critical R&D, PoC, vendor evaluation
- Establish engineering best practices and mentoring other engineers in making technical decisions on projects and foster a culture of technical excellence and continuous learning
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery
Other
- This is a hybrid position, requiring candidates to reside within 50 miles of one of our hubs in San Francisco, Austin, or Madison.
- Ability to work optimally in multifaceted, occasionally interrupt driven environment that includes geographically spread teams and customers
- Excellent communication skills to collaborate with executives, data scientists, analysts, and engineers.
- Ability to work closely with data scientists, analysts, and other stakeholders to translate business requirements into technical solutions.
- Proven ability to mentor staff and senior engineers, raising the technical bar across teams.
