Sr. Solutions Architect - Utilities/Energy
Leads complex technical pre-sales engagements for Utilities customers, advising executives and account teams on adopting the Databricks Data Intelligence Platform. The role requires data or AI expertise, hands-on prototyping, public cloud experience, Python or SQL, and business-professional Japanese fluency.
About the job
Responsibilities
- Engage complex customers to 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 cloud ecosystems and third-party applications.
- Serve as an expert solutions architect and trusted advisor for data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
- Develop customer-facing collateral and lead workshops, seminars, and meetups.
- Travel up to 30–40% to Tokyo offices and customer sites.
Requirements
- Experience engaging in complex customer interactions and technical pre-sales sales cycles.
- Technical background in data engineering, data warehousing, or machine learning/AI.
- Experience working with Utilities customers.
- Builder mindset with experience prototyping, creating demos, and crafting tailored solutions.
- Ability to work autonomously with ambiguous requirements and challenging customer environments.
- Ability to influence decision-makers and C-level executives and orchestrate teams for long-term customer success.
- Coding experience in Python or SQL and willingness to learn Spark.
- Hands-on expertise with complex proofs of concept and public cloud platforms.
- Business-professional fluency in Japanese.
Nice to Have
- Experience with AWS, Azure, and Google Cloud.
- Databricks Certification.
- Business-level English proficiency.
Benefits
- Comprehensive benefits and perks tailored to regional employee needs.
Skills
Data Engineering, Data Warehousing, Machine Learning, Artificial Intelligence, Python, SQL, Spark, AWS, Microsoft Azure, GCP, Databricks Lakehouse, Proofs Of Concept, Data Analytics Architecture, Databricks Certification
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