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3 дня назад

Senior Principal Solutions Architect (Vertica)

Формат работы
remote (только Italy)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Italy
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior Principal Solutions Architect (Vertica): Driving the adoption of Vertica analytics platforms in complex enterprise environments with an accent on presales execution, performance benchmarking, and architectural design. Focus on translating technical outcomes into business value, leading high-impact proof-of-concepts, and influencing data strategies for global enterprise customers.

Location: Must be based in Italy (Remote)

Company

hirify.global is a global technology company focused on building high-performance analytical solutions and modern data infrastructure.

What you will do

  • Act as a trusted technical advisor to enterprise customers, designing scalable analytical architectures based on Vertica.
  • Lead end-to-end design and execution of competitive proof-of-concepts and performance benchmarks.
  • Partner with Sales to develop account strategies, technical narratives, and winning deal plans.
  • Design and integrate Vertica within modern data stacks, including ingestion, storage, and BI consumption layers.
  • Mentor and coach other Solutions Architects and Sales Engineers to elevate technical sales capabilities.
  • Contribute to innovation in AI/ML integration and emerging data architecture patterns.

Requirements

  • 10+ years of experience in solutions architecture, presales, or technical consulting.
  • Minimum 3–5 years in a customer-facing presales role, specifically in Data Warehouse or Data Lake analytics.
  • Proven expertise with columnar, MPP, or OLAP databases such as Vertica, Teradata, Greenplum, or ClickHouse.
  • Strong proficiency in ANSI SQL, query optimization, data modeling, and ETL/ELT pipeline development.
  • Advanced knowledge of cloud and hybrid environments (AWS, Azure, GCP).
  • Must be based in Italy to fulfill the remote requirements of this role.

Nice to have

  • Experience with streaming frameworks like Kafka and Spark.
  • Knowledge of AI/ML integrations and modern LLM-driven workflows.
  • Experience collaborating with Global System Integrators (GSIs) and Value-Added Resellers (VARs).

Culture & Benefits

  • Commitment to an inclusive and diverse workplace where employees can thrive.
  • Opportunity to work with high-performance teams on complex, large-scale data challenges.
  • Focus on innovation and thought leadership within the data analytics space.
  • Equal opportunity employer with a strong emphasis on fair employment practices.

Hiring process

  • Includes background and reference checks as part of the standard hiring process.

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