Director – Data Platform Engineering

Simple Machines

Senior data leader at Simple Machines guiding data platform direction across ANZ. Focused on evolving enterprise data strategies and modernising client data ecosystems for an AI-native future.

Posted 5/21/2026full-timeSydney • 🇦🇺 AustraliaLeadWebsite

Tech Stack

Tools & technologies

AirflowAWSAzureCloudGoogle Cloud PlatformKafkaKubernetesSpark

About the role

Key responsibilities & impact

Part of the Global Data Practice leadership team
Helping define and evolve Simple Machines’ data platform propositions, technical direction, and strategic positioning
Advising enterprise clients on modern data platform strategy, architecture, operating models, and AI readiness
Supporting organisations as they evolve from traditional centralised data platforms toward AI-native, real-time, and data product-oriented operating models
Working closely with Engagement Managers and senior leadership across major strategic initiatives
Leading architecture and technical direction for complex enterprise data platform and transformation programs
Acting as a senior technical counterpart across strategic client engagements and partner relationships
Pre-sales, proposal development, technical solution shaping, and executive stakeholder engagement
Building trusted relationships with strategic technology partners and staying current with emerging platform capabilities and market direction
Supporting recruitment, mentoring, capability uplift, and practice development across the broader engineering organisation
Leading major client initiatives across data engineering, platform modernisation, AI enablement, and operational data systems
Contributing to thought leadership, market positioning, and growth initiatives across ANZ.

Requirements

What you’ll need

10+ years’ experience across data engineering, data platforms, analytics engineering, or data architecture
Proven consultancy and enterprise client-facing experience
Strong pre-sales, proposal development, and solution shaping capability
Demonstrated experience architecting and delivering modern cloud-native data platforms at enterprise scale
Strong experience developing solutions centred around data products and reusable enterprise data capabilities
Deep understanding of data mesh principles, federated governance, and scalable domain-oriented data ownership models
Experience designing platforms and architectures to support AI-native use cases, machine learning systems, agentic workflows, and intelligent software platforms
Strong understanding of real-time and event-driven architectures, including streaming data systems and low-latency processing patterns
Experience building platforms that support governed, discoverable, reusable, and operationalised data products across large organisations
Familiarity with contemporary data stack technologies and modern engineering practices
Strong understanding of platform architecture, distributed data systems, orchestration, governance, and scalable data product design
Experience with technologies and ecosystems such as GCP, AWS, Azure, Databricks, Snowflake, Kafka, Spark, dbt, Kubernetes, Airflow, ML/AI enablement, or similar modern platform tooling
Strong commercial acumen and ability to engage credibly with senior technical and business stakeholders
Experience leading major enterprise initiatives and high-performing engineering teams
Comfortable operating in a fast-moving, high-performance consultancy environment

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Simple Machines Website LinkedIn All Job Openings 11 - 50 employees Simple Machines is an Australian based firm of expert consultants at the intersection of data architecture, data engineering, data science and software application development. Our heritage is architecting and engineering highly performant, distributed, data driven platforms and machine learning applications that perform at massive scale. We partner with enterprise, governments and global technology companies to put their data to work in the real world.Simple Machines is a Preferred Confluent consulting and training partner providing specialist consulting services in Kafka. We are also Partners with Databricks and Lightbend, providing training and consulting services in Spark and Scala. Director – Data Platform Engineering 🔥 19 minutes ago 🏢🏡 Sydney – Hybrid ⏰ Full Time 🔴 Lead 🏗️ Platform Engineer Airflow AWS Azure Cloud Google Cloud Platform Kafka Kubernetes Spark Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Part of the Global Data Practice leadership team
Helping define and evolve Simple Machines’ data platform propositions, technical direction, and strategic positioning
Advising enterprise clients on modern data platform strategy, architecture, operating models, and AI readiness
Supporting organisations as they evolve from traditional centralised data platforms toward AI-native, real-time, and data product-oriented operating models
Working closely with Engagement Managers and senior leadership across major strategic initiatives
Leading architecture and technical direction for complex enterprise data platform and transformation programs
Acting as a senior technical counterpart across strategic client engagements and partner relationships
Pre-sales, proposal development, technical solution shaping, and executive stakeholder engagement
Building trusted relationships with strategic technology partners and staying current with emerging platform capabilities and market direction
Supporting recruitment, mentoring, capability uplift, and practice development across the broader engineering organisation
Leading major client initiatives across data engineering, platform modernisation, AI enablement, and operational data systems
Contributing to thought leadership, market positioning, and growth initiatives across ANZ. 🎯 Requirements
10+ years’ experience across data engineering, data platforms, analytics engineering, or data architecture
Proven consultancy and enterprise client-facing experience
Strong pre-sales, proposal development, and solution shaping capability
Demonstrated experience architecting and delivering modern cloud-native data platforms at enterprise scale
Strong experience developing solutions centred around data products and reusable enterprise data capabilities
Deep understanding of data mesh principles, federated governance, and scalable domain-oriented data ownership models
Experience designing platforms and architectures to support AI-native use cases, machine learning systems, agentic workflows, and intelligent software platforms
Strong understanding of real-time and event-driven architectures, including streaming data systems and low-latency processing patterns
Experience building platforms that support governed, discoverable, reusable, and operationalised data products across large organisations
Familiarity with contemporary data stack technologies and modern engineering practices
Strong understanding of platform architecture, distributed data systems, orchestration, governance, and scalable data product design
Experience with technologies and ecosystems such as GCP, AWS, Azure, Databricks, Snowflake, Kafka, Spark, dbt, Kubernetes, Airflow, ML/AI enablement, or similar modern platform tooling
Strong commercial acumen and ability to engage credibly with senior technical and business stakeholders
Experience leading major enterprise initiatives and high-performing engineering teams
Comfortable operating in a fast-moving, high-performance consultancy environment Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

data engineeringdata platformsanalytics engineeringdata architecturecloud-native data platformsdata productsdata mesh principlesreal-time architecturesevent-driven architecturesplatform architecture

Soft Skills

consultancyclient-facing experiencepre-sales capabilityproposal developmentsolution shapingcommercial acumenstakeholder engagementmentoringleadershiprelationship building