Staff IT Data Engineer
Staff IT Data Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
GAQ226R150
Location: San Francisco CA or Mountain View CA
At Databricks Information Technology we are a product led organization transforming the way data is sourced designed and used to help us scale seamlessly in face of incredible growth.
You will influence technological decisionmaking for business teams data and AI strategy and roadmap. You will guide the business in identifying data needs and delivering data products for acquiring processing and reporting such information to meet company objectives. You will be considered the gotoexpert for stakeholders on data warehousing and data intelligence. You will gather and maintain best practices that can be adopted across the broader data analytics community. You will be a part of the growing IT Data Team.
The impact you will have:
- Design/Strategy: The Staff Data Engineer is the technical owner of the data strategy and design that supports the businesss lakehouse and schemas. In this capacity the Staff Data Engineer will typically lead a team of data engineers to design and develop data products (data pipelines BI and AI models) to serve a variety of business usecases.
- Collaboration: The role of a Staff Data Engineer is highly collaborative working closely with analysts data scientists and other data consumers within the business. The Staff Data Engineer also works closely with other disciplines/departments and teams across the company in coming up with simple functional and elegant solutions that balance data needs across the business
- Analytics: The Staff Data Engineer plays an analytical role in quickly and thoroughly analyzing business requirements for reporting and analysis and translating into good technical data designs. In this capacity the Staff Data Engineer needs to have a strong sense of metrics and analytics to establish patterns and insights to help develop a well researched design.
What we look for:
- 8 years of related experience with a Bachelors degree; or 6 years with a Masters degree; or 4 years with PhD; or equivalent work experience.
- Education degree in Computer Science Statistics Information Systems or another quantitative field.
- Experience building and optimizing big data data pipelines architectures and data sets. In depth knowledge of data modeling and design of schemas for read and write performance. Spark experience is a big plus
- Advanced working knowledge and experience working with relational databases query authoring as well as working familiarity with a variety of databases
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Build processes supporting data transformation data structures metadata dependency and workload management.
- Knowledge of message queuing stream processing API based extraction and highly scalable big data data stores.
- Experience supporting and working with crossfunctional teams in a dynamic environment.
- Handson experience with Python and SQL is a must
- Experience with building data pipelines from business applications like Salesforce Marketo NetSuite Workday etc.
- Prior handson technical leadership experience is a big plus.
- Experience with Databricks Platform is a big plus
- Experience with AI/ML/Data Science is a big plus
- Knowledge of BI Tools like Tableau Looker etc
Required Experience:
Staff IC
Employment Type
Full-Time
