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Engineering Manager - Data

Au: Melbourne:HybridFull TimeManager / HeadPosted 2 months ago

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Required skills

  • Dataverse team
  • Data Platform
  • AWS
  • Snowflake
  • Real-time data flows
  • Streaming architecture
  • DataOps
  • Coaching senior engineers
  • Platform health
  • Data modeling

Nice to have

  • Sydney
  • Melbourne

Role summary

We are seeking an Engineering Manager - Data to lead a remote team of nine engineers responsible for core models on our data platform. This role balances strategic leadership with technical execution, focusing on platform architecture, delivery, stability, and quality. You will coach senior engineers, establish operational standards, and manage risks, collaborating with product, platform, and security teams to deliver scalable data products. Experience with AWS, Snowflake, real-time streaming, data modeling, and DataOps is essential. This hybrid role is based in Sydney or Melbourne, offering flexible working arrangements.

The role / impact

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.

Sample Xero interview questions

  • 1

    Merge Overlapping Intervals Merge overlapping intervals in an array. Input: intervals = [[1,4],[4,5]] Output: [[1,5]] Explanation: The intervals touch exactly at the 4 mark, so they are successfully merged into a single continuous interval.

    codingmedium
  • 2

    Diameter of a Binary Tree Find the diameter of a binary tree. Input: root = [1,2] Output: 1 Explanation: The longest path is simply the single edge connecting the root node to its only child.

    codingmedium
  • 3

    Iterator over a Binary Search Tree Implement an iterator over a binary search tree. Input: root = [7,3,15,null,null,9,20], calls: next(), hasNext(), next() Output: 3, TRUE, 7 Explanation: The iterator yields the smallest value (3), confirms more nodes exist, then properly yields the next in-order value (7).

    codingmedium
  • 4

    Alien Dictionary Order Derive the alien dictionary order from a sorted list of alien words. Input: words = ["z","x","z"] Output: "" (Empty String) Explanation: The letter 'z' cannot come before 'x' and then suddenly after 'x', creating a cycle and making the dictionary invalid.

    codingmedium
  • 5

    Encode and Decode Strings Encode a list of strings into a single string and decode it back. Input: strs = ["","hello",""] Output: ["","hello",""] Explanation: Prepends chunk lengths and a delimiter (e.g., "0#5#hello0#") to safely encode and perfectly restore empty strings.

    codingmedium

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