Job Description
Note: The job is a remote job and is open to candidates in USA. Databricks is the data and AI company that helps organizations unify and democratize data, analytics, and AI. As a Sr. Specialist Solutions Architect for Data Warehousing, you will guide customers through their cloud data warehousing transformation, providing technical leadership and support throughout the process, from evaluation to production deployment.
- 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 competitive 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
- Skills
- 8+ 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 EDW 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 successfully 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
- 7 years professional experience with data warehousing and big data technologies (Ex: SQL, Redshift, SAP, Synapse, EMR, OLAP & OLTP workloads)
- 5 years 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
- This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed
- Experience with the AWS, Azure, or GCP clouds is highly desirable
- Benefits
- Annual performance bonus
- Equity
- Comprehensive benefits and perks
- Company Overview
- Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. It was founded in 2013, and is headquartered in San Francisco, California, USA, with a workforce of 5001-10000 employees. Its website is https://www.databricks.com.
- Company H1B Sponsorship
- Databricks has a track record of offering H1B sponsorships, with 385 in 2025, 319 in 2024, 227 in 2023, 222 in 2022, 166 in 2021, 64 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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