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Day 79
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AU: Melbourne: (260 Burwood Rd) · AU: Sydney (45 Clarence St) · Melbourne, Victoria, Australia
Live, first seen by us 79 days agoLocation type: HybridFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: EngineeringFrom the employer’s posting
Lead the Dataverse engineering team building core data platform models
Lead delivery of complex data platform initiatives, managing dependencies and risks
Coach senior engineers and raise engineering standards, including DataOps adoption
Design and build core models on AWS and Snowflake
Streamline real-time data flows and streaming architecture across platform services
you will lead the engineering team responsible for creating and maintaining core models on our data platform
Leading delivery execution for complex data platform initiatives while managing dependencies and risks.
Coaching senior engineers, elevating engineering standards, and supporting team adoption of DataOps practices.
Designing and building core models on the data platform using AWS and Snowflake infrastructure.
Streamlining real-time data flows and streaming architecture across platform services.
Initially, the role may focus on - Designing and building core models on the data platform using AWS and Snowflake infrastructure. - Streamlining real-time data flows and streaming architecture across platform services.
- A background in data platform delivery alongside data engineering expertise and data modelling capability. - Practical familiarity with cloud infrastructure like AWS and Snowflake, along with an understanding of real-time streaming technologies and data flows. - Your leadership style combines delivery focus with the technical breadth required to guide architectural decisions and step in hands-on when required.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 79
Up longer than most. Similar jobs usually come down between day 7 and day 53.
From 7,804 similar postings that came down. Coming down is not always a hire.
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
The role
As our 'Engineering Manager - Data', you will lead the engineering team responsible for creating and maintaining core models on our data platform. In this role, you will balance strategic leadership with technical delivery, shaping platform architecture while staying close enough to execution to ensure delivery, stability, and quality standards are met.
You will empower and grow senior engineering talent, establish operational standards, and manage risk and dependencies across key quarterly initiatives. Partnering closely with product, platform, and security teams, you will ensure high-quality, scalable data products are delivered to solve meaningful customer problems.
The team & how they connect
The 'Dataverse' team consists of nine engineers located across Australia, New Zealand, and Canada who build and maintain the core models in our data platform. Working across remote locations, the team collaborates closely to manage cross-team dependencies and maintain continuous alignment. They foster an environment grounded in knowledge sharing, constructive feedback, and empathy for stakeholders.
Initially, the role may focus on
Designing and building core models on the data platform using AWS and Snowflake infrastructure.
Streamlining real-time data flows and streaming architecture across platform services.
Leading delivery execution for complex data platform initiatives while managing dependencies and risks.
Coaching senior engineers, elevating engineering standards, and supporting team adoption of DataOps practices.
Where and how you can work
This role offers flexible hybrid working arrangements based out of our Sydney or Melbourne offices. You can balance remote work with designated office boost days to connect, whiteboard, and collaborate in person with your team.
Here are some of the things we're looking for, for this role:
A background in data platform delivery alongside data engineering expertise and data modelling capability.
Practical familiarity with cloud infrastructure like AWS and Snowflake, along with an understanding of real-time streaming technologies and data flows.
Your leadership style combines delivery focus with the technical breadth required to guide architectural decisions and step in hands-on when required.
Proven capability in coaching senior engineers, setting clear expectations, and supporting individual career progression.
Demonstrated proficiency managing platform health, establishing Service Level Objectives, and leading operational performance.
Strong collaborative skills to build trusted relationships across product, platform, and security teams.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
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Melbourne, Victoria, Australia
The team & how they connect The 'Dataverse' team consists of nine engineers located across Australia, New Zealand, and Canada who build and maintain the core models in our data platform. Working across remote locations, the team collaborates closely to manage cross-team dependencies and maintain continuous alignment. They foster an environment grounded in knowledge sharing, constructive feedback, and empathy for stakeholders. Initially, the role may focus on
Where and how you can work This role offers flexible hybrid working arrangements based out of our Sydney or Melbourne offices. You can balance remote work with designated office boost days to connect, whiteboard, and collaborate in person with your team. Here are some of the things we're looking for, for this role:
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We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting