4 дня назад
Sr. Solutions Engineer - Digital Native Business (Strategic Accounts)
152 300 - 209 450$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Solutions Engineer - Digital Native Business (Strategic Accounts) (Data and AI): Leading customer discovery, solution design, proofs-of-concept, and platform demonstrations across data engineering, analytics, and machine learning with an accent on Python, SQL, cloud platforms, and distributed data systems. Focus on architecting production-quality solutions, building live demos, navigating competitive evaluations, and developing technical strategies that expand Databricks platform usage.
Location: Remote in California, Colorado, Oregon, or Washington
Salary: $152,300–$209,450 USD annually
Company
Databricks provides a unified Data and AI 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 demonstrations, notebooks, solution accelerators, and reference architectures.
- Own technical relationships with customer engineers, data teams, and technical leads.
- Develop account-level technical strategies with the Account Executive to expand platform consumption.
- Present Databricks differentiation through hands-on demonstrations and competitive evaluations.
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.
- 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 customer discovery, whiteboarding, architecture reviews, presentations, and technical demonstrations.
- 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
- Remote work is available within the specified U.S. states.
- Benefits and perks are offered according to the employee's region.
- Annual performance bonus and equity may be included in the compensation package.
- Inclusive hiring practices and a diverse workplace.
Hiring process
- Recruiter screen and hiring manager screen.
- Design and architecture interview, followed by a live coding assessment.
- Build, Demo, Pitch! presentation and reference check.
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