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Описание вакансии
Текст:
TL;DR
Solutions Architect - Media (Databricks Data and AI Platform): Leading technical discovery, solution design, proofs of concept, and platform demonstrations for customer workloads across data engineering, analytics, and machine learning with an accent on Python, SQL, cloud architecture, and distributed data systems. Focus on designing production-quality solutions, building live demos, presenting technical strategies, and solving complex customer data challenges.
Location: Remote in California, San Francisco, California, or the West Coast of the United States; candidates in other locations may also be considered.
Salary: $152,300–$209,450 USD annually, with potential bonus, equity, and benefits.
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 technical relationships with customer engineers, data teams, and technical leads.
- Develop account-level technical strategies with Account Executives to expand platform usage.
- Explain Databricks differentiation through hands-on demonstrations and competitive technical analysis.
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 customer discovery sessions, whiteboarding, and architecture reviews.
- Strong presentation and live demonstration skills, plus a 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
- Customer-focused environment centered on innovation, creativity, experimentation, and continuous improvement.
- Comprehensive benefits and region-specific perks.
- Potential annual performance bonus and equity.
- Inclusive workplace with equal employment opportunity standards.
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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