consulting full time senior tech

Job Details

Be Part of Building the Future
Dremio is the Data Lake Engine company. Our mission is to reshape the world of analytics to deliver on the promise of data with a fundamentally new architecture, purpose-built for the exploding trend towards cloud data lake storage such as AWS S3 and Microsoft ADLS. We dramatically reduce and even eliminate the need for the complex and expensive workarounds that have been in use for decades, such as data warehouses (whether on-premise or cloud-native), structural data prep, ETL, cubes, and extracts. We do this by enabling lightning-fast queries directly against data lake storage, combined with full self-service for data users and full governance and control for IT. The results for enterprises are extremely compelling: 100X faster time to insight; 10X greater efficiency; zero data copies; and game-changing simplicity. And equally compelling is the market opportunity for Dremio, as we are well on our way to disrupting a $25BN+ market.
If you, like us, say... “bring it on” to exciting challenges that really do change the world, we have endless opportunities where you can make your mark.

About the role
As a Dremio Big Data Implementation Engineer, your mission is to do what it takes to help our customers rapidly obtain value from the Dremio platform after the sale. This can include hands-on work to install, size, and tune the software, work with customer’s IT and Data Engineers to connect Dremio to customers’ data sources, create custom integrations and product extensions when needed, and perform training to Customers’ IT, data engineers, data scientists, and end users on how to best use Dremio for their unique workflows.
What you'll be doing
Application Architecture: tailor reference architectures to provide performance, resilient, scalable, secure, distributed architectures which can exceed SLAs and are easily maintained.
Data Modeling: design and test data models which are pragmatic, performant, and scalable.
Application Implementation: show the customer how to write robust and scalable data access code that correctly utilizes drivers.
Infrastructure: help the customer select on-premise hardware or cloud instance types based on workload and capacity assessments.
Production Operations: help the customer deploy, configure, secure, maintain, monitor, scale, troubleshoot, test and tune Enterprise clusters.
Instructive Consulting: in response to customer questions, provide ad-hoc instruction that is shaped by the customer’s specific environment, requirements and constraints.
Identifying Needs: bring in the sales team when the customer will benefit from a services or license purchase / expansion.
A Team Effort: collaborate with other roles in Dremio Professional Services, Technical Support, pre-Sales, Sales, etc. to ensure our customer is successful.
What we're looking for
In-depth, current, hands-on knowledge of SQL, particularly advanced SQL techniques used in analytic contexts, is a must.
Data architecture, data modeling, warehousing concepts. Deep understanding of data architectures which support reporting and analytics use cases.
Experience with ETL concepts, techniques, pipelines, tools, challenges
Performance techniques for accelerating Reporting / Dashboarding use cases (OLAP, Materialized Views, etc)
Hands-on experience with the Hadoop Ecosystem ( YARN, Zookeeper)
Hive / Impala / Spark / etc
AWS/Azure/GCP
Cloud performance considerations
Kubernetes / AKS / EKS
Excellent written and verbal communications skills
Ability to present on technical topics to various levels within the enterprise
What we offer
Medical, dental and vision insurance
401(k) Plan
Short term / long term disability and life insurance
Pre-IPO stock options
Flexible PTO
16 hours of volunteer time off
12 company paid holidays, including Juneteenth
Remote work options
Monthly “Get Stuff Done” (GSD) Days
Paid parental leave
Employee Assistance Program (EAP)
Company-sponsored wellness programs including Aaptiv, Headspace, Physera and Ginger
Quarterly swag surprise

  • *Certain benefits are only allowed to full-time Dremio employees and may not be the same across all locations.
    What we value
    At Dremio, we hold ourselves to high standards when it comes to People, Thinking, and Action. Our Gnarlies (that's what we call our employees) communicate with clarity, drive accountability, and are respectful towards each other. We confront brutal facts and focus on results while operating with a sense of urgency and building a "flywheel". People who like to jump in and drive momentum will thrive in our #GnarlyLife.
    Dremio is an equal opportunity employer supporting workforce diversity. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, protected veteran status, disability status, or any other unlawful factor.Dremio is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request accommodation due to a disability, please inform your recruiter.
    Dremio has policies in place to protect the personal information that employees and applicants disclose to us. Please click here to review the privacy notice.
    #LI-QM1 #LI-Remote

See something wrong with this listing?

Contact support