2 месяца назад
Sr. Solutions Engineer (Data & AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Solutions Engineer (Data & AI): Leading technical discovery, solution design, proofs-of-concept, and platform demonstrations for customer workloads spanning data engineering, analytics, and machine learning with an accent on Python, SQL, cloud platforms, and distributed data systems. Focus on designing production-quality data solutions, building live demos, solving customer architecture challenges, and presenting technical strategies that drive Databricks platform adoption.
Location: Singapore
Company
Databricks is a data and AI company providing a unified platform for data engineering, analytics, machine learning, and AI applications.
What you will do
- Lead technical discovery and solution design for customer workloads across data engineering, analytics, and machine learning.
- Build and deliver proofs-of-concept, live demos, notebooks, solution accelerators, and reference architectures on the Databricks Platform.
- Own frontline technical relationships with customer engineers, data teams, and technical leads.
- Develop account-level technical strategies with Account Executives to expand platform usage and consumption.
- Explain Databricks differentiation through hands-on demonstrations and competitive technical positioning.
Requirements
- 4+ years of experience in data engineering, solutions architecture, technical pre-sales, or hands-on consulting.
- Proficiency in Python and SQL, including debugging, optimization, and production-quality coding; live coding is required during the interview.
- Hands-on experience designing and implementing data solutions on AWS, Azure, or GCP.
- Working knowledge of distributed data systems such as Apache Spark, Delta Lake, Hadoop, Kafka, or Flink.
- Experience leading technical customer conversations, including discovery, whiteboarding, and architecture reviews.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
Nice to have
- Databricks certification or experience with the Databricks Platform.
- Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow.
- Background at a data or AI company, cloud provider, or technical consulting firm.
Culture & Benefits
- Comprehensive benefits and perks are provided, with details varying by region.
- Inclusive workplace committed to equal employment opportunity and diversity.
- Databricks operates 30+ offices around the globe and serves more than 20,000 organizations.
Hiring process
- Recruiter screen followed by a hiring manager screen.
- Design and architecture interview, live coding assessment, and build-demo-pitch presentation.
- Reference check.
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