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Consulting Architect - NYC/NJ






New York, US / New Jersey, US


Dremio is an exciting, early-stage, Series B, well-funded startup in hyper-growth mode. We are backed by Lightspeed, Norwest, Redpoint and Cisco Ventures.
Dremio’s data platform makes it ridiculously easy to discover and query huge datasets regardless of the data’s format and location. Dremio Distributed Querying Processor can query data across on-prem or cloud data sources ranging from Amazon S3, ADLS, RDBMS, NoSQL, HDFS and more. Dremio accelerates the retrieval of data via the use of its proprietary Data Reflections™ which results in retrieval times that are up to 1000x faster.
At Dremio we are committed to the open source software model.
We are the co-creators of Apache Arrow and many of us have been actively committing to projects for nearly a decade. We use a number of open source projects to build Dremio, including projects we embed in our platform.
We’re looking for people with a strong background or interest in building successful products or systems. You’re comfortable in dealing with lots of moving pieces, working in a fast paced environment and dealing with ambiguity.
Founded in 2015, Dremio is headquartered in Santa Clara, CA. Connect with Dremio on GitHubLinkedInTwitter, and Facebook and visit for more information on the opportunities at Dremio.  
About the Role:
As a Dremio Consulting Architect, 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.

Essential Job Functions

    • 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.

Skills & Qualifications:

    • 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 accellerating Reporting / Dashboarding use cases (OLAP, Materialized Views, etc)
    • Hands-on experience with the Hadoop Ecosystem ( YARN, Zookeeper)
    • Hive / Imapala / 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
Dremio doesn't accept unsolicited agency resumes and won't pay fees to any third-party agency or firm that doesn't have a signed agreement with Dremio.

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