As the Head of Data & Engineering, you will take full ownership of solution architecture, client delivery, distributed team leadership, and internal AI process strategy. This role requires both strategic vision and hands-on execution—you’ll be comfortable reading and writing code, not just reviewing presentations.
You will manage complex client engagements from start to finish, lead a distributed team across multiple countries, and define how AI is integrated into delivery workflows. The ideal candidate is a builder at heart: someone who has designed and implemented tracking plans, data pipelines, CDPs, and automation workflows, using that experience to make strong architectural decisions and step in wherever the team needs support.
Schedule:
Flexible during client business hours: Sydney, AU
Independent Contractor Perks
Permanent work from home
Immediate hiring
Health Insurance Coverage for eligible locations
Key Responsibilities
Client Engagement & Delivery
Own client relationships end-to-end: scoping, kickoff, QA, delivery, and ongoing advisory.
Translate client business problems into well-scoped, well-architected solutions; stay close enough to catch issues before they escalate.
Lead technical pre-sales: scope work & contribute to proposals
Architecture & Technical Leadership
Set reference architectures covering ingestion, warehousing, transformation, and activation.
Own standards for event tracking, CDP schema design, attribution modelling, and BI layers; be able to dive into queries and pipelines directly.
Make build vs buy decisions; keep our client at the technical frontier, especially around AI-augmented workflows.
Team Leadership & Coaching
Lead and develop a distributed team: Philippines (2x Engineers), Greece (1x MarOps, part-time), Spain (1x Webflow, part-time), Australia (1x Data Engineer, contract).
Run structured feedback loops; develop specialists into well-rounded technical consultants.
Orchestrate AI agents and automation tooling across delivery workflows to augment the squad; define how the team works with AI, not just whether they use it.
AI & Process Strategy
Drive our clients internal AI strategy from a process and delivery perspective.
Mandate AI-first working: if a process can use AI, it must use AI.
Build reusable frameworks, templates, and playbooks that outlast individual engagements.
Internal Operations
Own the data and engineering layer of the internal tooling and reporting infrastructure.
Proactively improve systems for version control, QA, incident response, and knowledge management.
Qualifications & Experience
Required
10+ years in data or analytics engineering, including 3+ years in a Director, or head-of-function role.
Hands-on experience as lead architect for modern data platforms: CDPs, data warehouses, ETL/ELT pipelines, attribution models.
Strong SQL and Python; cloud data warehouses, dbt (or equivalent), event tracking platforms.
Demonstrated ability to manage clients commercially: proposals, scoping, stakeholder management.
Track record building distributed technical teams in a multi-client or consultancy environment.
Genuine AI-first mindset: active user of AI tooling in daily work.
Preferred
Experience with automation platforms (e.g. n8n, Make) and orchestrating AI agents.
Background in growth, marketing technology, or RevOps.
PE-backed or high-growth scale-up environment experience.
Side Note
This is a permanent work-from-home role under an Independent Contractor arrangement. Candidates must have their own computer and reliable internet connection, and are responsible for their own taxes and benefits. Professional hourly fees are established based on your performance in the application process.
Reminder
Please follow the provided link to BruntWork’s Career Site to finish your initial application requirements, including the assessment questions, technical check, and voice recording. Submissions with all requirements fulfilled will receive priority review.
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