обновлено 6 часов назад
Senior Data Leader (Data Platform/AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Data Leader (Data Platform/AI): Shaping and evolving data platform capabilities across ANZ with an accent on modernizing enterprise data ecosystems for an AI-native future. Focus on designing cloud-native architectures, implementing data mesh principles, and leading strategic client transformations.
Location: Hybrid in Sydney, Australia
Company
is a high-performance consultancy focused on building modern data and AI capabilities for enterprise clients.
What you will do
- Define and evolve data platform propositions, technical direction, and strategic positioning within the Global Data Practice.
- Advise enterprise clients on modern data platform strategy, architecture, operating models, and AI readiness.
- Lead architecture and technical direction for complex enterprise data platform and transformation programs.
- Drive pre-sales, proposal development, and executive stakeholder engagement.
- Build strategic technology partner relationships and stay current with emerging platform capabilities.
- Mentor engineering teams and support recruitment and capability uplift across the organization.
Requirements
- 10+ years of experience across data engineering, data platforms, analytics engineering, or data architecture.
- Proven experience in consultancy and enterprise client-facing roles.
- Demonstrated ability to architect and deliver cloud-native data platforms at enterprise scale.
- Deep understanding of data mesh principles, federated governance, and domain-oriented data ownership.
- Experience designing architectures to support AI-native use cases and agentic workflows.
- Strong commercial acumen and experience leading high-performing engineering teams.
Nice to have
- Expertise with GCP, AWS, Azure, Databricks, Snowflake, Kafka, Spark, dbt, Kubernetes, or Airflow.
Culture & Benefits
- Strategic leadership role within a Global Data Practice.
- Fast-moving, high-performance consultancy environment.
- Opportunity to shape the future direction of data platforms in the ANZ region.
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