27 applicants

Company

Databricks · 1 day ago

Specialist Solutions Architect - Data Warehousing

United States

Full-time

Remote

Mid, Senior Level

$140K/yr - $247K/yr

5+ years exp

Maximize your interview chances

AnalyticsArtificial Intelligence (AI)

Growth Opportunities

H1B Sponsor Likely

Insider Connection @Databricks

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Provide technical leadership to guide strategic customers to successful cloud transformations on large-scale data warehousing workloads - ranging from evaluation to architecture design to production deployment

Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization

Become a technical expert in an area such as data warehousing evaluations or helping set up successful workload migrations

Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production

Provide tutorials and training to improve community adoption (including hackathons and conference presentations)

Contribute to the Databricks Community

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data WarehousingDatabricksSQLPerformance TuningData ModelingCloud MigrationPythonAWSAzureGCPNoSQLMPPOLTPOLAPScalaJavaData GovernanceBig Data TechnologiesCustomer-facing Experience

Required

5+ years experience in a technical role with expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, data governance, debugging MPP data warehouses or other big data solutions, or migration workloads from EDWother systems

Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics, NoSQL, MPP, OLTP, and OLAP

Deep Specialty Expertise in at least one of the following areas: Experience scaling large analytical data workloads in the cloud that are performant and cost-effective; Maintained, extended, or migrated a production data warehouse system to evolve with complex needs, including data modeling, data governance needs, and integration with business intelligence tools; Experience migrating on-premise EDW workloads to the public cloud

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience

Production programming experience in SQL and Python, Scala, or Java

Experience with the AWS, Azure, or GCP clouds

2 years of professional experience with data warehousing and big data technologies (Ex: SQL, Redshift, SAP, Synapse, EMR, OLAP & OLTP workloads)

2 years of customer-facing experience in a pre-sales or post-sales role

Can meet expectations for technical training and role-specific outcomes within 6 months of hire

Can travel up to 30% when needed

Benefits

Annual performance bonus

Equity

Company

Databricks

Glassdoor

4.4

Databricks is an AI cloud data platform that interacts with corporate information stored in the public cloud.

Founded in 2013

San Francisco, California, USA

5001-10000 employees

https://www.databricks.com

H1B Sponsorship

Databricks has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (177)

2022 (238)

2021 (193)

2020 (79)