Solutions Architect - MFG - West
Role Overview
Partner with customers as part of Databricks Field Engineering to design scalable data architectures using Databricks technology and services.
Drive complex technical discussions that communicate platform value throughout the sales lifecycle and establish trusted customer relationships.
Work with customer technical leads, including architects, engineers, and operations teams, to achieve tangible outcomes; report to the Field Engineering Manager.
Key Skills for This Role
Full Job Posting
Role overview
Partner with customers as part of Databricks Field Engineering to design scalable data architectures using Databricks technology and services.
Drive complex technical discussions that communicate platform value throughout the sales lifecycle and establish trusted customer relationships.
Work with customer technical leads, including architects, engineers, and operations teams, to achieve tangible outcomes; report to the Field Engineering Manager.
Impact and responsibilities
- Develop account strategies with Sales and other partners to grow platform usage in assigned accounts.
- Establish Databricks Lakehouse architecture as customers’ standard data architecture through technical account planning.
- Build and present reference architectures and demo applications to help prospects understand platform use cases.
- Consult on big data architectures, data engineering pipelines, and data science or machine-learning projects to capture technical wins.
- Prove Databricks technology for strategic projects and validate integrations with cloud services and third-party applications.
- Promote Spark, Delta Lake, MLflow, and Koalas through developer communities, meetups, conferences, and webinars.
- Represent customer needs across Databricks teams and executive leadership.
What we look for
- 7+ years in customer-facing pre-sales, technical architecture, or consulting, with expertise in at least one listed technology area.
- Experience translating business needs into technology solutions and securing stakeholder buy-in at all levels.
- Experience designing, architecting, and presenting data systems and managing delivery of production data-architecture solutions.
- Fluent in SQL and database technology.
- Debugging and development experience in at least one of Python, Scala, Java, or R.
- Travel to customers in the region up to 30% of the time.
Relevant technology areas
- Expertise may be in big data engineering, including Spark, Hadoop, or Kafka.
- Expertise may be in data warehousing and ETL, including SQL and OLTP, OLAP, or DSS.
- Expertise may be in data science and machine learning, including pandas, scikit-learn, or HPO.
- Expertise may be in data applications such as log analysis, threat detection, real-time systems monitoring, or risk analysis.
- Building solutions with AWS, Azure, or GCP is desired.
- A degree in Computer Science, Applied Mathematics, Operations Research, or another quantitative discipline is desired.
Pay range
- Canada pay range: CAD 185,000–CAD 225,000.
- Compensation depends on candidate-specific factors; total compensation may include an annual performance bonus, equity, and benefits.
About Databricks
Databricks describes itself as a Data and AI company whose platform is used by organizations to build and scale data and AI applications, analytics, and agents.
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