Sr. Solutions Architect (Pre-sales) - Utilities/Energy
Databricks2 months ago
Tokyo, JapanSenior
Responsibilities
- Engage complex Utilities customers and help them achieve unified platform goals.
- Develop and execute customer engagement strategies with Account Executives and Solutions Architects.
- Coach account teams and peers on positioning, adoption strategies, and execution.
- Influence stakeholders across the cloud ecosystem and third-party applications.
- Serve as an expert solution architect and trusted advisor for data analytics architecture, design, and Databricks Lakehouse adoption.
- Develop customer-facing collateral and lead workshops, seminars, and meet-ups.
- Support customer proofs of concept, demonstrations, and customized technical solutions.
Requirements
- Experience engaging in complex customer interactions and technical pre-sales sales cycles.
- Technical background in Data Engineering, Data Warehousing, Machine Learning, or AI.
- Prior coding experience in a core programming language such as Python or SQL, plus willingness to learn Spark.
- Hands-on expertise with complex proofs of concept and public cloud platforms, including AWS, Azure, and Google Cloud.
- Ability to provide technical solutions for specialized customer needs and navigate competitive landscapes.
- Ability to influence decision-makers and C-level executives while orchestrating teams and building long-term customer relationships.
- Builder mindset with experience creating prototypes, demos, and tailored hands-on proof points.
- Business-professional fluency in Japanese is required.
- Business-level English proficiency is a plus.
- Databricks Certification is a preferred qualification.
Benefits
- Location: Tokyo, Japan.
- Up to 30–40% travel to Tokyo offices and customer sites.
- Comprehensive regional employee benefits and perks are provided; specific details vary by region.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.