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Senior Field Specialist - Data Engineering & Streaming (Pre-Sales)

166 000 - 230 000$
Формат работы
remote (только USA)
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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TL;DR
Senior Field Specialist - Data Engineering & Streaming (Pre-Sales) (Data Engineering and Streaming): Designing and presenting scalable cloud-native data engineering architectures, supporting proofs of concept, and enabling enterprise data, streaming, and AI-readiness use cases with an accent on Apache Spark, Airflow, Apache NiFi, Apache Flink, Apache Kafka, CDC, and multi-cloud deployments. Focus on troubleshooting large-scale data pipelines, defining modernization roadmaps, and translating customer requirements into product and engineering insights.

Location: Remote within the United States; primary work location may include California, Colorado, or Illinois

Annual base salary: California $166,000–$230,000; Colorado $146,000–$180,000; Illinois $154,000–$190,000. Sales roles are also eligible for a commission plan.

Company

hirify.global provides cloud-native data management and analytics solutions for enterprise data engineering, streaming, and AI-readiness use cases.

What you will do

  • Lead customer engagements by designing and presenting scalable cloud-native data engineering architectures and business outcomes.
  • Provide technical expertise throughout the sales cycle, including proofs of concept, solution sizing, adoption, data preparation, CDC, and streaming use cases.
  • Troubleshoot complex data pipeline issues and lead technical escalations to support customer success.
  • Develop enablement materials, explore cloud-native batch and streaming technologies, and share best practices.
  • Translate customer feedback and EMEA-specific requirements into actionable product and engineering insights.
  • Collaborate with Sales, Product, and Engineering while representing hirify.global in community activities and industry events.

Requirements

  • Experience leading mission-critical data use cases in enterprise industries such as financial services, retail, healthcare, or the public sector.
  • Experience designing, building, and deploying enterprise-grade data engineering pipelines and real-time streaming solutions.
  • Hands-on expertise with Apache Spark, Airflow, Apache NiFi, Apache Flink, and Apache Kafka.
  • Experience architecting production data deployments across hybrid and multi-cloud environments, including data preparation, CDC, and large-scale ingestion.
  • Experience delivering PoCs and MVPs that lead to production deployments, with attention to data security, quality, governance, and AI readiness.
  • Strong presentation skills and the ability to engage data engineers, technical stakeholders, and senior executives.

Nice to have

  • Pre-sales or technical consulting experience focused on big data and AI platforms.
  • Experience with Confluent, Databricks, AWS EMR or Glue, DataOps, CI/CD, and automated data quality frameworks.
  • Knowledge of hirify.global CDE, CDF, SDX, Apache Iceberg, Kubernetes, and open-source data and AI ecosystems.
  • Relevant technical certifications and experience with data engineering foundations for machine learning, deep learning, or generative AI.

Culture & Benefits

  • Flexible work-from-home policy.
  • Generous paid time off and company-wide unplugged days.
  • Mental and physical wellness programs.
  • Phone and internet reimbursement.
  • Career development opportunities, comprehensive benefits, paid volunteer time, and employee resource groups.
  • This role is not eligible for immigration sponsorship.

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