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Description
Location: Madison, Wisconsin, United States of America | Austin, Texas, United States of America | San Francisco, California, United States of America
Requisition ID: R32408
Position_Type: Full time
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. 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 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. You'll 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
Bachelor's or Master's 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 $183,000.00-$275,000.00. 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 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.
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Our customer experience software unlocks the power of billions of interactions, enabling businesses to build rich, meaningful relationships with their customers.
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With our hybrid approach, you'll experience flexibility and connection, collaboration, and learning with your team.
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