
Senior Solutions Architect – Digital Native Business
Databricks
full-time
Posted on:
Location Type: Remote
Location: New York • United States
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Salary
💰 $196,200 - $274,650 per year
Job Level
About the role
- Partner with customers to design scalable data architectures using Databricks technology and services.
- Work with Sales and essential partners to develop account strategies for assigned accounts to grow their usage of the platform.
- Establish the Databricks Lakehouse architecture as the standard data architecture for customers.
- Build and present reference architectures and demo applications for prospects.
- Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects.
- Become an expert in and promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities.
Requirements
- 8+ years in a customer-facing pre-sales or consulting role with expertise in at least one of the following technologies:
- Big data engineering (Ex: Spark, Hadoop, Kafka)
- Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)
- Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)
- Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)
- Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.
- Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.
- Fluent in SQL and database technology.
- Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
- [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP
- [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
- Travel to customers in your region up to 30% of the time.
Benefits
- Comprehensive benefits and perks for all employees
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Databricksbig data engineeringdata warehousingETLdata sciencemachine learningSQLPythonScalaJava
Soft skills
customer-facingconsultingaccount strategiesstakeholder managementdesigningpresentingtranslating business needsdelivery management