Solutions Architect - Emerging Enterprise
Databricks · United States · Field Engineering · listed August 19, 2022
The shape of it
Seniority
Principal
Where
Not stated
Stated pay
$139,700 – $247,300 USD
Requirements listed
10
Length
835 words
In the posting’s own words
Solutions Architects at Databricks lead the adoption of the Databricks Unified Analytics Platform. As a member of our team, you will sharpen your skills on open-source projects such as Apache Spark™, MLflow, and Delta Lake to advocate the Lakehouse paradigm on public cloud providers. You will gain expertise in cloud platforms, data engineering, data analytics, data science, and machine learning. In this customer-facing role, you will identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through implementations to deliver strategic business value. You will partner with the sales team to build relationships with our customers and establish yourself as a trusted advisor.
What it asks for · 10
- 3+ years in a customer-facing pre-sales, technical architecture, or consulting role
- Experience designing and architecting distributed data systems
- Comfortable programming in and debugging at least one of Python, Scala, Java, SQL, or R
- Have built solutions with public cloud providers, such as AWS, Azure, or GCP
- Experience in at least one of the following:
- Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
- Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
- Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
- [Preferred] Degree in a quantitative discipline (e.g., Computer Science, Applied Mathematics, Operations Research, etc.)
- Nice to have: Databricks Certification
What the job covers
- Provide technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks
- Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
- Build and present reference architectures, technical guides, and demo applications for customers
- Provide escalated support for critical customer operational issues
- Become an expert in, and evangelize Databricks driven open-source projects (Apache Spark™, Delta Lake, MLflow, Koalas) across developer communities through meetups, conferences, and webinars
- Use your strengths to help your fellow SA's, and drive cross-functional relationships across the company
- Travel to customers (up to 30%, of which 80%+ local to your region)
Degree language
- [Preferred] Degree in a quantitative discipline (e.g., Computer Science, Applied Mathematics, Operations Research, etc.)
Tools and skills named
Data
- Databricks8×
- Spark5×
- Data warehouse2×
- Hadoop
- Pandas
Languages
- SQL2×
- Java
- Python
- Scala
Cloud & infra
- AWS
- Azure
- GCP
- Kafka
Models & research
- Machine learning3×
Go to market
- Solutions architecture2×
Product & design
- Prototyping
Ways of working
- Cross-functional
Words the posting leans on
- data12×
- customers10×
- solutions8×
- architecture5×
- cloud5×
- platform5×
- architect4×
- e.g4×
- projects4×
- customer-facing3×
- data science3×
- machine learning3×
- technical3×
- analytics2×
- apache spark2×
- applications2×
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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