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Описание вакансии
Текст:
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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