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13 дней назад

Solutions Engineer (Data Streaming)

175 000 - 200 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Solutions Engineer (Data Streaming): Leading enterprise pre-sales and post-sales engagements for a real-time data streaming platform with an accent on customer data architectures, proof-of-value projects, and technical solution design. Focus on mapping CDC, Kafka, cloud data warehouses, and replication patterns to customer needs, presenting to technical and executive audiences, and improving enterprise deal execution.

Location: San Francisco, United States; On-site

Compensation: OTE $175,000–$200,000; base $125,000–$140,000; equity offered

Company

hirify.global provides a fully managed real-time data streaming platform that replicates production databases into data warehouses and data lakes with zero maintenance.

What you will do

  • Run structured proof-of-value engagements with technical success criteria and mutual action plans.
  • Partner with Account Executives from technical discovery through deal close.
  • Analyze customer databases, pipelines, cloud and on-premise infrastructure, and data movement challenges.
  • Map customer architectures to CDC, Kafka, cloud warehouse, and replication solutions, including integration design.
  • Present complex technical concepts and business impact to engineers, architects, executives, and other stakeholders.
  • Share field insights with Product and Engineering, improve AI-supported workflows, and support post-sale customer handoffs.

Requirements

  • 5+ years of experience as a Solutions Engineer or Sales Engineer in enterprise or similarly complex environments.
  • Deep familiarity with at least one RDBMS, such as Oracle, SQL Server, PostgreSQL, or DB2, including troubleshooting, logging, archiving, and query plans.
  • Working knowledge of a cloud data warehouse such as Snowflake, Iceberg, Databricks, or Redshift.
  • Experience with data-stack technologies including Kafka, dbt, and BI platforms.
  • Experience with AWS, GCP, or Azure and sufficient networking knowledge for technical solutioning.
  • Strong communication, structured proof-of-concept management, curiosity, and a low-ego customer approach.

Culture & Benefits

  • Work directly with founders and help define the Solutions Engineering function.
  • Collaborate closely with Engineering on customer handoffs and product improvements.
  • Competitive equity package.
  • Healthcare, 401(k), and unlimited PTO.
  • Lunch and dinner provided.

Hiring process

  • Lead technical discovery, proof-of-value engagements, and solution presentations as part of the enterprise sales process.

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