Sr. Solutions Architect - Digital Native Business, Strategics
Databricks · Nevada; Remote - California; Remote - Colorado; Remote - Washington · Field Engineering - FE Direct Regulated · listed July 22, 2026
The shape of it
Seniority
Principal
Where
Remote
Stated pay
$219,100 – $301,300 USD
Requirements listed
11
Length
737 words
In the posting’s own words
As a Sr. Solutions Architect on the team supporting the strategic Digital Natives Business (DNB) customers, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world.
What it asks for · 11
- 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
- Experience building distributed data systems
- Comfortable programming in and debugging Python and SQL
- Have built solutions with public cloud providers such as AWS, Azure, or GCP
- Expertise in one of the following:
- Data Engineering technologies ( Ex: Spark, Hadoop, Kafka )
- Data Science and Machine Learning technologies ( Ex: pandas, scikit-learn, PyTorch, Tensorflow )
- Available to travel to customers in your region
- [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
- Nice to have: Databricks Certification
- Location: Remote (Pacific Time preferred; Mountain Time considered).
What the job covers
- You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
- Lead technical discovery and design architectures, implement proof of concepts for strategic projects spanning data engineering, data science and machine learning, and SQL analysis workflows. You will also help customers build solutions that integrate with cloud services, home grown tools, and other 3rd party applications.
- Act as strategic technical advisor to customers to help them drive business outcomes.
- Collaborate with your fellow Solutions Architects, using your skills to support each other and our users.
- Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, MLflow, Omnigent) across the developer community.
Degree language
- [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
Tools and skills named
Data
- Databricks3×
- Spark2×
- Hadoop
- Pandas
Cloud & infra
- AWS
- Azure
- GCP
- Kafka
Models & research
- Machine learning2×
- PyTorch
- TensorFlow
Languages
- SQL2×
- Python
Go to market
- Solutions architecture
Words the posting leans on
- data10×
- customers7×
- solutions5×
- technical5×
- data engineering4×
- data science4×
- architectures3×
- business3×
- strategic3×
- architect2×
- cloud2×
- collaborate2×
- develop2×
- engineering data2×
- experience2×
- landscape2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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