Data & AI Solutions Architect (Customer-Facing)

WinsAbove; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Databricks is seeking a Solutions Architect to help customers adopt the Databricks Unified Analytics Platform. You will translate complex data problems into architectures and guide implementations across cloud services, data engineering, analytics, and ML.

In this customer-facing role, you will lead reference architectures, contribute to open-source projects like Apache Spark and Delta Lake, and travel up to 30% to customer sites.

Qualifications

• 4+ 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 Data Engineering technologies (e.g., Spark, Hadoop, Kafka), Data Warehousing (SQL, OLTP/OLAP/DSS) or Data Science/ML (pandas, scikit-learn, HPO).
• Nice to have: Databricks Certification.

Responsibilities

• 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 across developer communities.
• Use your strengths to help your fellow SA's, and drive cross-functional relationships across the company.
• Travel to customers up to 30%.

Skills

Customer-facing experience

Distributed data systems

Programming (Python/Scala/Java/SQL/R)

Cloud platforms (AWS/Azure/GCP)

Data engineering tools (Spark/Hadoop/K

Data warehousing (SQL/OLTP/OLAP)

Data science & ML (pandas/scikit-learn

Databricks Certification (preferred)

Education

Bachelor's degree in a quantitative discipline

Job description

Databricks is seeking a Solutions Architect to help customers adopt the Databricks Unified Analytics Platform. You will translate complex data problems into architectures and guide implementations across cloud services, data engineering, analytics, and ML.

In this customer-facing role, you will lead reference architectures, contribute to open-source projects like Apache Spark and Delta Lake, and travel up to 30% to customer sites.