обновлено 3 дня назад
Senior Field Specialist - Data Engineering & Streaming (Pre-Sales)
166 000 - 230 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
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
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 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 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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