Назад
2 дня назад

Senior Solutions Architect (Data & AI)

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

Текст:
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TL;DR
Senior Solutions Architect (Data & AI): Leading complex enterprise customer engagements and designing scalable data and AI platforms with an accent on lakehouse architecture, real-time systems, migrations, governance, and cloud-native technologies. Focus on driving platform adoption, influencing executive stakeholders, orchestrating cross-functional teams, and solving advanced architecture challenges with Python, SQL, and Spark.

Location: Sydney, Australia

Company

Databricks is a data and AI company providing a unified platform for data engineering, analytics, machine learning, applications, and agents.

What you will do

  • Drive technical and consumption strategies for complex enterprise customer engagements, influencing platform adoption and revenue growth.
  • Own senior technical relationships and advise executives on enterprise data and AI strategy.
  • Lead architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
  • Act as a technical expert on the Databricks Platform, mentor other solutions architects, and drive knowledge-sharing across the region.
  • Develop competitive strategies and lead complex enterprise evaluations and platform displacements.
  • Coordinate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.

Requirements

  • 8+ years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
  • Expert coding proficiency in Python and SQL; Spark or PySpark experience is preferred for the role's technical work.
  • Deep expertise in distributed systems, streaming and real-time architectures, lakehouse design, data governance, and cloud-native platforms.
  • Expert-level Databricks Platform knowledge or equivalent expertise in competing platforms, with the ability to learn rapidly.
  • Experience driving platform adoption, consumption growth, competitive displacements, and complex enterprise evaluations.
  • Ability to influence Directors, VPs, and C-level stakeholders and connect technical decisions to business outcomes.

Nice to have

  • Databricks certifications.
  • Experience at Databricks, Snowflake, AWS, Google, Microsoft, or a leading data and AI company.
  • Published thought leadership, conference talks, or open-source contributions.
  • Industry expertise with executive-level domain credibility.

Culture & Benefits

  • Comprehensive benefits and perks tailored to the employee's region.
  • Inclusive culture focused on equal employment opportunity and enabling employees to excel.
  • Opportunity to contribute to customer-facing content, workshops, community engagement, and field engineering thought leadership.

Hiring process

  • Live coding assessment.
  • Platform build exercise during the interview process.

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