Senior Staff Data Engineer
Senior Staff Data Engineer
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Job Description
Job Description
Senior Staff Data Engineer - (This is a hybrid position requiring candidates to reside within 50 miles of one of our hubs in San Francisco Austin or Madison.)
Our Enterprise Data & Analytics (EDA) is looking for an experienced Senior Staff Data Engineer to lead the design development and scaling of our enterprise data platform. Youll work in a collaborative Agile environment using the latest engineering best practices with involvement in all aspects of the software development lifecycle.
As a Senior 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. Youll partner with architects engineers analysts and business stakeholders to ensure our data platforms are reliable observable secure and governed. This role is ideal for someone who thrives at the intersection of data architecture and engineering execution influencing technical direction across multiple teams while remaining hands-on with data platforms.
What you get to do every single day:
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
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
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
What you bring to the role:
Basic Qualifications
Bachelors or Masters degree in Computer Science Data Science or related field.
10 years of experience in data engineering data architecture or distributed systems with at least 5 years in technical leadership roles.
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.
Solid experience in observability alerting and incident management for data systems.
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
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.
What does our data stack looks like:
ELT (MYSQL CDC Kafka Snowflake Fivetran dbt Core & DBT Cloud Astronomer Alation Montecarlo)
BI (Tableau Looker)
Infrastructure (AWS Kubernetes Terraform Github Actions)
#LI-JH1
The US annualized base salary range for this position is $183000.00-$275000.00. This position may also be eligible for bonus benefits or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations the offer for the successful candidate for this position will be based on job related capabilities applicable experience and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles) and do not include bonus benefits or related incentives.Hybrid: In this role our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection collaboration learning and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
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Zendesk is an equal opportunity employer and were proud of our ongoing efforts to foster global diversity equity & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race color religion national origin age sex gender gender identity gender expression sexual orientation marital status medical condition ancestry disability military or veteran status or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law please click here.
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application complete any pre-employment testing or otherwise participate in the employee selection process please send an e-mail to with your specific accommodation request.
Required Experience:
Staff IC
Employment Type
Full-Time
