12 часов назад
Specialist Solutions Architect - Data Engineering (Healthcare & Life Sciences)
264 000 - 363 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Specialist Solutions Architect - Data Engineering (Healthcare & Life Sciences) (Apache Spark/Python/SQL): Architecting and optimizing production-grade big data pipelines and data lake solutions for customer implementations on the Databricks platform with an accent on streaming, ingestion, performance tuning, and cloud migration. Focus on designing scalable data architectures, solving complex workload performance challenges, and supporting technical pre-sales through proofs of concept, workload sizing, and custom architectures.
Location: United States. Travel of up to 30% may be required.
Salary: $264,000–$363,000 USD annually, with potential annual performance bonus, equity, and benefits.
Company
Databricks provides a unified Data and AI Platform for building and scaling data applications, analytics, and AI agents.
What you will do
- Guide strategic customers through big data architecture, engineering, implementation, and model deployment.
- Architect production-grade data pipelines and lead end-to-end performance testing and optimization.
- Develop deep expertise in data lakes, big data streaming, ingestion, workflows, or industry-specific use cases.
- Support Solution Architects with technical pre-sales, proofs of concept, workload sizing, and custom architectures.
- Deliver technical tutorials, training, hackathons, and conference presentations.
- Contribute to the Databricks Community and collaborate with internal technical teams.
Requirements
- 5+ years of experience in a technical role involving software engineering, data engineering, or data applications.
- Extensive experience building, maintaining, and extending production big data pipelines and systems.
- Deep expertise in at least one area including scalable ETL, Hadoop-to-cloud migration, large-scale ingestion and CDC, streaming pipelines, or cloud data lake technologies such as Delta and Delta Live.
- Production programming experience with SQL and Python, Scala, or Java.
- At least 2 years of professional experience with big data technologies such as Spark, Hadoop, or Kafka.
- At least 2 years of customer-facing experience in a pre-sales or post-sales role, plus a bachelor's degree in a relevant field or equivalent experience.
Culture & Benefits
- Mentorship, learning, and internal technical training programs.
- Comprehensive benefits and region-specific employee perks.
- Annual performance bonus and equity may be included in the total compensation package.
- Inclusive workplace committed to equal employment opportunity.
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