Staff Data Engineer

Job Description

Our Enterprise Data & Analytics (EDA) is looking for an experienced Staff Data Engineer to join our growing engineering team. You’ll work in a collaborative Agile environment using the latest engineering best practices with involvement in all aspects of the software development lifecycle. 

As a staff engineer on our EDA Engineering Team, you will be pivotal in building and supporting significant aspects of our data services and pipelines, that powers the next generation reporting and analytics platform. You will be primarily developing Data Warehouse Solutions, applying standard architectural & data modeling practices to maintain the foundation data layer serving as a single source of truth across Zendesk .

What you get to do every single day:

• Leading data engineering projects at scale in high visibility role working across multiple teams 

• Establishing engineering best practices and mentoring other engineers in making technical decisions on projects

• Successfully plans and delivers 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

• Cross functional and team collaboration on researching and brainstorming different solutions for technical challenges we face

• 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

• Mentoring team members to help them grow in their technical responsibilities

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery

What you bring to the role:

Basic Qualifications

• 7+ years of production experience in Data Modeling and Data Architecture

• 5+ years of data engineering experience building, working & maintaining scalable data platforms

• 3+ years of experience with Cloud columnar databases (Snowflake, Google BigQuery, Amazon Redshift, etc)

• 2+ years of production experience working with dbt and designing and implementing Data Warehouse solutions

• Experience with AWS or related technologies

• Ability to work optimally in multifaceted, occasionally interrupt driven environment that includes geographically spread teams and customers

• Intermediate experience with any of the programming language: Python, Go, Java, Scala, we use primarily Python

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• Ability to work closely with data scientists, analysts, and other stakeholders to translate business requirements into technical solutions. Strong documentation skills for pipeline design and data flow diagrams.

Preferred Qualifications

• Working  knowledge in modern as well as classic Data Modeling technique - Kimball, Innmon, etc 

• Experience writing ETL jobs to help address various data engineering challenges

• Experience working with Docker, Kubernetes, Terraform

What does our data stack looks like:

• ELT (Bigquery, Snowflake, Fivetran, dbt, Airflow)

• BI (Tableau, Looker)

• Infrastructure (GCP, AWS, Kubernetes, Terraform, Github Actions)

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

The US annualized base salary range for this position is $158,000.00-$238,000.00. This position may also be eligible for bonus, benef