data engineeringterraformdbtgcpci cdbigquerydatabricksgenerative aiobservabilityinformatica
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли чёткая ответственность за инженерные стандарты на уровне всей компании, современные практики работы с данными и управление командой, хотя зона задач охватывает платформу, развитие сотрудников, подрядчиков и внедрение ИИ.
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Широкая зона задачСовременный стекВлияние на платформуРазвитие и обучение
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Текст:
Hirify AI/Оригинал
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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