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1 день назад

Senior Manager - Data Engineering (Generative AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Manager - Data Engineering (Generative AI): Architecting and scaling an enterprise data engineering delivery ecosystem across cloud platforms, production-grade pipelines, and self-service tooling with an accent on GCP, dbt, Informatica, CI/CD, and data reliability. Focus on leading 8–10 data engineers, governing partner delivery, implementing cost and quality guardrails, and driving practical adoption of Generative and Agentic AI in engineering workflows.

Location: Hybrid, Sydney or Melbourne, Australia

Company

hirify.global operates a portfolio including Dan Murphy’s, BWS, ALH Hotels, and Pinnacle Drinks, creating hospitality, retail, and drinks experiences across Australia.

What you will do

  • Architect and maintain a self-service “paved road” for data engineering, including pipeline templates, CI/CD checks, and dbt testing suites.
  • Translate data architecture blueprints into production-ready engineering standards, reusable pipeline patterns, Gold-layer models, and enterprise data registries through Informatica.
  • Lead, mentor, and develop an internal cohort of 8–10 data engineers, focusing on technical capability at ecosystem scale rather than day-to-day coding.
  • Govern external partner delivery through technical acceptance criteria, runtime targets, milestone gates, fixed-outcome Statements of Work, and self-onboarding standards.
  • Establish observability, data quality monitoring, operational alerting, and downstream SLA frameworks while improving cloud compute and storage efficiency with FinOps partners.
  • Drive incremental delivery, technical-debt retirement, and practical adoption of Generative and Agentic AI for testing, documentation, and backend engineering workflows.

Requirements

  • Extensive experience leading and mentoring data engineering teams, including managing 8–10 direct reports and leading at an ecosystem level.
  • Deep expertise in modern cloud data platforms, primarily Google Cloud Platform/GCP, with supporting knowledge of Databricks, and enterprise governance suites such as Informatica/IICS.
  • Experience translating architectural blueprints into production-ready ELT pipelines, Medallion/Kimball data models, and automated dbt transformation workflows.
  • Experience implementing Infrastructure-as-Code with Terraform, CI/CD deployment pipelines, automated testing, and comprehensive observability suites.
  • Commercial experience scoping fixed-outcome Statements of Work, defining technical acceptance criteria, auditing vendor deliverables, and administering augmented resources.
  • Collaborative leadership skills and the ability to partner with Data Science, Full-Stack Engineering, Analytics, and Product teams.
  • A strong bias for action, composure under delivery pressure, and the ability to explain complex technical trade-offs as business value to commercial leaders.

Culture & Benefits

  • Hybrid ways of working.
  • Discounts across hirify.global brands, including ALH Hotels, BWS, and Dan Murphy’s, plus Woolworths and BIG W discounts.
  • Free services supporting physical, mental, and financial wellbeing.
  • Learning and development options for professional and career growth.
  • Inclusive, flexible, and collaborative workplace focused on equal opportunity.

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