• Design, build and maintain scalable data pipelines using modern data engineering tools (e.g., dbt, Airflow, Prefect). • Develop and maintain dimensional and semantic data models to support analytics and operational use cases. • Build curated data products that support analytics and modern AI workloads. • Design data schemas and storage strategies optimized for both analytical and AI workloads. • Build and maintain version control workflows and isolated development/test environments. • Manage and optimize cloud-based data infrastructure ensuring performance, scalability, reliability and cost efficiency. • Contribute to the architecture and evolution of the organization's modern data platform. • Collaborate closely with AI, Analytics, and Product teams to deliver scalable, high-quality data solutions.

Role Description This is a leadership role for a highly skilled and detail-oriented individual to drive all data-related streams for the implementation of Lookout and throughout a customer’s lifetime on the platform. This role leads the strategy and execution of all things data — from legacy data preparation and migration, to ongoing platform data support (bulk updates, process design, diagnostics), to building the internal tooling and process automation that makes the team’s delivery faster and more reliable. You’ll lead a team of data migration specialists, working directly with Lookout’s platform APIs and in-house Python tooling to design robust, scalable data processes. A growing part of this role involves leaning on AI/LLM-assisted development to build and evolve internal tools and automation — from validation engines to workflow automation across systems like Asana. Strong SQL and database fluency is essential for diagnostic and troubleshooting work across customer environments. You’ll work closely with Project Managers, Onboarding Specialists, Solutions, Product, Engineering, and Customer Success teams, acting as the technical authority for all things data and migration. This is a hands-on lead role for someone who thinks like a builder as much as a manager — with a deep understanding of SaaS platform capabilities and APIs, comfort directing AI-assisted tool development, and a track record of delivering reliable, well-architected data processes. Qualifications - Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent hands-on experience). - 5+ years in a technical delivery or data-focused role within a software company, with a demonstrated hands-on technical background — not purely project management. - Strong SQL skills for data diagnostics and troubleshooting across customer environments. - Practical experience with Python for tooling and automation, and working directly with platform and REST APIs. - Experience directing or building with AI/LLM-assisted development for internal tooling or process automation. - Proven leadership experience — mentoring a technical team, setting technical direction, and making architecture-level decisions. - Ability to partner effectively with Project Managers without owning day-to-day project management. - Excellent communication and stakeholder management skills, including at executive level. Requirements - Lead and mentor a team of data migration specialists, providing guidance, training, and performance feedback. - Plan and allocate resources effectively to meet project deadlines and budgets. - Foster a collaborative and high-performing team environment, promoting knowledge sharing and professional growth. - Own process architecture for the team — designing how data migration and ongoing platform support workflows operate end-to-end. - Maintain deep expertise in Lookout’s platform and APIs, and use that expertise to design internal tools that extend platform capability. - Define source-to-target mappings, data transformations, and data quality rules for migration work. - Develop environment and test case strategy to support functional UAT and output testing requirements. - Oversee the data lifecycle, from planning and design of migration and ongoing support work to implementation and post-delivery. - Translate customer business needs into detailed system configuration, data migration requirements, and user acceptance test plans. - Partner with Project Managers on timelines, budgets, and risk management, providing technical direction and escalation support rather than day-to-day PM ownership. - Build and maintain strong relationships with key stakeholders, including business leaders, data owners, and IT teams. - Communicate project and process status, risks, and issues clearly to stakeholders. - Lead the design and implementation of process automation initiatives, working with AI/LLM-assisted development to build and iterate on internal tools and migration systems. - Own the roadmap for the team’s in-house Python tooling and API-based migration and support tools, ensuring continuous improvement in efficiency and reliability. - Drive integration of process automation with tools like Asana — for example, automating handoffs between client sign-off, validation, and delivery stages. - Establish and maintain robust data quality controls and monitoring processes across automated workflows. - Continuously identify and implement process improvements to enhance efficiency, reduce costs, and improve data quality. - Stay abreast of the latest data migration technologies, agentic/AI tooling, and industry trends. - Explore and implement innovative data migration solutions, such as data virtualisation, data masking, and data replication. - Compliance with The Lookout Way Code of Conduct, policies and procedures. - Agreement that other employment or contract will not be undertaken which may represent a conflict of interest with The Lookout Way’s activities or have a detrimental effect on the performance of the employee. - Efficient and effective utilisation of resources as allocated under the level of responsibility for this position. - Conduct all business transactions in an ethical, friendly, efficient and professional manner. - Provision of quality customer service. - Ensure all corporate information is captured within The Lookout Way’s business systems adhering to record-keeping policies and procedures. - Oversight over information security in the software development process. - Responsible for oversight over policy development related to systems and software under their control. - Response for implementing risk management in the development process aligned to company goals. - Responsible for implementing information security standards and data privacy standards (e.g. SOC2, the Privacy Act, the Aged Care Act) in the development process. - Align all controls and practices with the Information Security Roles and Responsibilities Policy. Benefits - A competitive salary package that reflects your impact and leadership. - Remote-first work from anywhere in Australia, with offices available for face-to-face collaboration. - Annual health and wellbeing allowance. - Generous leave policies that grow with tenure, plus access to Sonder and parental leave benefits. - The opportunity to lead and shape a growing technical function within a fast-scaling SaaS business. - Exposure to modern APIs, AI-powered development, automation platforms, and large-scale data migration projects. - The chance to directly influence how technology supports aged care providers and the communities they serve. How to Apply If this role sounds like you, please click on the apply button and follow the prompts. We will get in touch if you are shortlisted for this opportunity. Please include your CV and a cover letter telling us a bit about yourself and your suitability for this role within our organisation. We respectfully request no communication from external agencies or recruiters.

Role Description Estamos em busca de uma pessoa Engenheira de Dados Sênior com foco em Qualidade de Dados para atuar na construção, validação e evolução de processos que garantam a confiabilidade dos dados entregues às áreas de negócio. Essa pessoa será responsável por desenvolver mecanismos de qualidade de dados, realizar testes, validações e homologações, além de contribuir para a evolução das práticas de engenharia de dados, assegurando que as informações consumidas por analistas, cientistas de dados, sistemas, dashboards e demais consumidores sejam consistentes, confiáveis e de alto valor para o negócio. - Desenvolver e implementar processos de qualidade de dados ao longo do ciclo de engenharia de dados. - Documentar, testar, validar e homologar pipelines e soluções desenvolvidas. - Garantir a qualidade, consistência e confiabilidade dos dados entregues aos consumidores finais. - Desenvolver soluções utilizando Python, SQL e PySpark em ambiente Databricks. - Construir e manter notebooks e pipelines de processamento de dados. - Participar da análise de requisitos junto às áreas de negócio. - Realizar testes unitários e apoiar os processos de homologação das soluções. - Pesquisar, desenhar e desenvolver novas soluções de engenharia de dados. - Atuar continuamente na melhoria da confiabilidade, eficiência e qualidade dos processos e dos dados. - Disseminar conhecimento técnico e boas práticas de engenharia e qualidade de dados para o time. - Contribuir para que os dados gerem valor para as áreas de negócio e apoiem a tomada de decisão. Qualifications - Tenha pensamento Lean e mentalidade de melhoria contínua. - Seja colaborativa e engajada com as entregas da squad. - Atue com senso de urgência em situações críticas. - Tenha facilidade para trabalhar com experimentação e aprendizado contínuo. - Encare erros como oportunidades de evolução, propondo melhorias de forma constante. - Seja protagonista na resolução de problemas, apoiando o time na busca por soluções. - Valorize a troca de conhecimento e a cultura de feedback. Requirements - Experiência mínima de 4 anos atuando com Engenharia de Dados. - Conhecimento sólido em Python e SQL para transformação, análise e tratamento de dados. - Experiência com PySpark. - Experiência em Databricks, incluindo desenvolvimento de notebooks em Python e PySpark. - Vivência com práticas de testes, validação e homologação de soluções de dados. - Experiência na análise de requisitos e desenvolvimento de soluções de engenharia de dados. - Conhecimento em ferramentas e práticas de DevOps, incluindo: Git, Docker, Jira, Bitbucket, Bamboo, Nexus, Microsserviços. - Compromisso com a qualidade das entregas e boas práticas de desenvolvimento. Benefits - Vales Alimentação e Refeição (Swile) - Flexibilidade para crédito em Auxílio Home-Office (Swile) - Cobertura de até 100% em Plano de Saúde e Odontológico - Seguro de Vida em grupo - Trabalho remoto - Convênio Saúde Mental - psicoterapia online e presencial - Incentivo a certificações e cursos - Convênio para cursos de pós-graduação e MBA (Esalq/USP) - Parceria com escolas de idiomas - Parceria com academias e apps de bem-estar (Wellhub) - Palestras e rodas de conversa internas - Bônus por indicação - Happy hours - Mimos em datas comemorativas

• Providing the organization’s data consumers high quality data sets by data curation, consolidation, and manipulation from a wide variety of large scale (terabyte and growing) sources. • Building high quality data pipelines and ETL processes that interact with terabytes of data on leading platforms such as Snowflake and BigQuery. • Developing and improving our enterprise data marts by creating efficient and scalable data models to be used across the organization. • Partnering with our analytics, data science, crm, and machine learning teams for data solutions. • Responsible for an enterprise data mart integrity, validation, and documentation. • Responsible for the data pipelines’ SLA and dependency management. • Writing technical documentation for data solutions, and presenting at design reviews • Solving data pipeline failure events and implementing sound anomaly detection • Working with various teams from analytics to product owners and front end developers on tracking solutions and solving technical challenges • Leading medium to large size projects in terms of writing technical specs and project planning • Mentoring junior members of the team.