The Staff Data Engineer is the hands-on technical authority for the team's day-to-day data engineering delivery and operations.
Reporting to the Principal Data Engineer, this role owns the
d
ay-to-day
technical decisions, quality and reliability of data platforms and pipelines in-flight, and is the primary escalation point for the engineering team on technical and operational matters.
The Staff Data Engineer is accountable for supporting the principal engineer with solution architecture and designs, translating these into consistent day-to-day execution, patterns and for continuously improving how the team runs data operations
.
The role works closely with local and offshore engineers, architects, security
teams
and platform teams to ensure data solutions are reliable, interoperable, and aligned with Latitude's broader data and cloud strategy.
The staff data engineer will
provide
technical guidance to engineers, resolve complex operational and delivery challenges, and contribute directly to solution design, development, testing, and implementation.
In this role,
you'll
:
Lead technical delivery:
Lead the end-to-end engineering delivery of data platforms,
pipelines
and data products, ensuring solutions meet agreed functional and non-functional requirements and
comply with
the LFS data engineering standards.
Engineer scalable data solutions:
Translate architectural direction
established
by the Principal Data Engineer and enterprise architecture teams into practical,
scalable
and secure solution designs using platforms such as Snowflake, Airflow,
AWS
and other agentic and data development frameworks.
Remain hands-on:
Contribute directly to solution development, code reviews, testing, troubleshooting,
deployment
and production support as part of a local and offshore engineering team.
Drive engineering excellence:
Own engineering standards in practice: Enforce and uphold the team's CI/CD, automated testing, code quality, observability and
DevSecOps
standards day to day through code reviews, definition-of-done gates and hands-on remediation, ensuring standards set by the Principal
E
ngineer
are consistently applied across every delivery.
"
Support platform interoperability:
Build solutions that enable secure and seamless data movement, integration and collaboration across platforms, business
domains
and engineering teams.
Guide engineering teams:
Provide day-to-day technical direction: Act as the go-to technical
decision-maker
for local and offshore engineers on delivery and operational questions,
allocating
and unblocking work, reviewing designs and code, and coaching engineers through complex problems in-flight.
Maintain operational reliability:
Own operational reliability day to day: Act as the technical owner for the run-state of data pipelines and platforms — triaging incidents,



leading root-cause analysis, meeting SLAs/SLOs, and driving the fixes, observability and automation that reduce recurring operational toil week to week.
Embed governance and security:
Work with data governance, cyber
security
and privacy teams to incorporate metadata management, data lineage, data quality, access
controls
and regulatory requirements into solutions by design.
Support strategic initiatives:
Partner with the Principal Data Engineer and other technical leaders to support strategic data and cloud transformation initiatives, including platform modernization and migration programs.
Manage technical risks and dependencies:
owning day-to-day delivery and operational risks and dependencies
directly and
escalating significant architectural or enterprise-standard-setting decisions to the Principal Data Engineer.
Agentic development:
Help shape what agentic development frameworks and harness kits that help teams accelerate consistency,
quality
and output in our development lifecycle, and importantly support the adoption across teams contributing to our data systems and platforms.
What
you'll
bring:
You are familiar with AI tools - comfortable using tools to accelerate insights, automate routine work, prepare reporting, and tailor content quickly and effectively.
(for individual contributor roles)
AI-native - regularly leverages AI tools to enhance decision-making, automate reporting, accelerate content creation, and drive greater efficiency across your team (for people leader roles)
·
Bachelor's degree in computer science or information technology or a related discipline.
·
7+ years of experience in data engineering, including experience leading the technical delivery of complex data solutions.
·
Strong hands-on experience with cloud data platforms
and services
-
Snowflake
and
AWS
.
Demonstrated experience designing and building scalable data pipelines using modern technologies such as
dbt, Airflow,
Kafka,
Spark
·
Strong programming and automation experience using technologies such as
Python, SQL,
Terraform
and CloudFormation
.
Strong experience and practices with
best practice
AI
assisted
development, in particular leveraging harnesses,
kits
and agentic development frameworks.
Experience implementing CI/CD pipelines, automated testing, monitoring,
observability
and
DevSecOps
practices for data platforms.




Experience applying Infrastructure as Code and automation-first principles to the development and operation of data platforms.
Experience designing or contributing to self-service data platforms and reusable engineering frameworks.
Strong understanding of data integration patterns, pipeline
orchestration,
and distributed data processing.
Proven ability to build data solutions with
strong performance, scalability, security,
maintainability,
and reliability characteristics.
Understanding of data governance, metadata management, lineage, data quality, security,
privacy
and access-control principles.
Experience leading technical delivery across local and offshore or distributed engineering teams.
Experience coaching and mentoring junior and mid-level engineers.
Inclusive of the ability to conduct design or code review and support other engineers in troubleshooting complex technical issues and helping them make pragmatic engineering choices.
Strong stakeholder engagement,
collaboration,
and communication skills, with the ability to explain complex technical topics clearly.
A continuous-improvement mindset and willingness to learn, experiment and challenge
established
technologies and practices constructively.
Ability to balance hands-on delivery with technical
operational
leadership, team
support,
and longer-term platform
objectives.
Sometimes the best candidates don't have 100% of what is listed above, but if you have most and are confident, you'd be a good fit, we'd love to hear from you!
Sound like you?
That's a good sign!
In return for your energy and ideas, we offer a flexible working environment and great compensation.
We always support a safe, healthy, engaging, and productive working environment for all employees and workers, whether that be in your home and office, or a combination of both.
We make it possible
– for our customers, our partners, and our people.
We believe doing outstanding work starts with feeling supported.
Our values,
take ownership
,
pursue excellence
,
win together
, and
create tomorrow
, aren't just words.
They show up in how we work, how we lead, and how we look after our team.
We make it possible...
to spend more time with your loved ones
– with an extra week of paid leave each year through our
Take 5
initiative.
to balance work and life
– with a hybrid working model, giving you the flexibility to work from home while connecting in the office.
to put your wellbeing first
– with
Sonder
, a 24/7 support app for mental and physical wellness.
to access great financial benefits
– with discounts on Latitude products and services.
When our people thrive, everything else follows.
Successful applicants will be required to complete a background check (including criminal history and bankruptcy check) prior to commencement of employment.

📌 Staff Data Engineer (Melbourne)
🏢 Latitude
📍 Melbourne