Engineering Manager - Private Dining

Databricks

FEQ227R222 Field Engineering, AI/ML Product Specialist As the AI/ML Product Specialist, you will be defining our technical go to market strategy and driving our AI/ML product adoption in the Asia Pacific and Japan region.  You will be directly working with customers to guide and influence their data application architecture and decisions. You will be expected to present, demo and pitch Databricks AI/ML product suite and you will be acting as a trusted advisor for senior executives and your in-depth technical knowledge will ensure our customers are successful in leveraging Databricks to solve their business problems. You will be the technical expert to support our field engineering teams internally and you will be expected to help enable the team to understand the key differentiators of our product against our competitors. You will partner with product managers to help to define the product direction based on local knowledge and inform our product strategy with our go-to-market field teams. You will not have any direct reports but will recruit and lead a group of specialists across the field dedicated to scale your impact.  You will also be a thought leader externally to the market via speaking at conferences, online webinars, and blog posts. You will meet with customers to communicate the vision and gather feedback. You have expertise in designing and delivering cloud-based Data Visualisation and Analytics Solutions. You will bring your in depth knowledge and experience of building production level data applications leveraging different technologies. You will excel in creating and articulating a compelling value proposition for our customers and enabling Account Executives and Field Engineers to operate effectively using best practices and assets that you own and develop. The impact you will have: * Lead the vision and strategy for AI/ML products adoption in Asia Pacific and Japan * Develop materials for our GTM team to effectively communicate our value proposition * Support our field teams in key strategic pursuit opportunities * Work with a team of subject matter experts (SMEs) to scale your impact in local regions and enable the broader field team to have confidence in competing in the market * Act as the thought leader to build confidence and relationships with our customers at the executive level * Present externally at conferences, events and webinars and publish content to establish our position in the market * Work with our FDE teams and partners to establish best practices * Act as a cross-functional representative with Product Management, Product Marketing and Engineering on our go-to-market motion What we look for: * 6+ years of experience in Data Science, Machine Learning and 2+ years in production Gen AI * Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). * Trusted advisor to technical executives that inform strategic data decisions * Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams. * Expertise in traditional Machine Learning methodologies and have deployed large scale production systems * Deep understanding of LLM application architectures (RAG, agentic, fine-tuning), agent frameworks (LangGraph / LlamaIndex / AutoGen / DSPy), eval methodology and foundational model markets (Claude, Llama, Mistral, OpenAI, open-source) * Proven track record of successful pre-sales experience in competitive situations * Ability to define and executive strategic program cross functionally * High impact communication internally and externally About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Ippon Technologies

Ippon Australia is a team of true technologists who leverage contemporary thinking and tools to enhance the way our clients drive value. Whether it’s a bespoke platform to improve employee engagement within a national retail chain, or developing an app that provides next level direct customer interaction; value is delivered to our clients when we begin by understanding the business outcomes they desire and then apply our technical expertise to make these a reality. We are expanding our market offering through the development of a Data & AI practice and are searching for passionate Data Engineers to join us. The Data practice complements our capabilities in Experience Design and Product, as well as Software Engineering and Cloud, further enhancing our ability to deliver comprehensive business outcomes to our clients. The Lead Data Engineering Consultant will embrace ambiguity whilst leading through active engagements with clients. You’ll work all the way from discovery to delivery and beyond to solve problems that are at the heart of some of our clients most burning issues. You’ll find the work challenging, the people stimulating and the environment friendly, welcoming and accepting. We’re a team of committed technologists here to do our best work, we’re quick to trust, easy to get along with and curators of elegant solutions. Roles & Responsibilities * Lead end-to-end delivery of scalable data platforms and data warehouse solutions * Design and implement robust data architectures using Snowflake, AWS, Azure, and/or Databricks * Provide hands-on technical leadership across projects, setting standards and guiding delivery teams * Build, optimise, and maintain data pipelines, models, and storage layers to ensure reliable data outcomes * Collaborate with data governance and reporting stakeholders to align solutions with broader data strategy * Support pre-sales activities by contributing to solution design, scoping, and client proposals * Work closely with data scientists, analysts, and business stakeholders to deliver impactful solutions * Translate complex technical concepts into clear, actionable insights * Present solutions and progress confidently to both technical and non-technical audiences * Partner with project managers to ensure delivery is on track, within scope, and aligned to expectations Competencies we’re looking for * Bachelor’s degree in Computer Science or a related field, or equivalent practical experience * Relevant Data Engineering certifications (e.g. Snowflake, Azure, Databricks) highly regarded * Strong hands-on experience with Snowflake in production environments * Proven experience designing and delivering modern cloud-based data platforms and data warehousing solutions * Advanced capability in data modelling, performance optimisation, security, and data sharing within Snowflake * Solid experience building and orchestrating ETL/ELT pipelines using tools such as Airflow, dbt, or similar * Demonstrated consulting experience—translating business requirements into scalable, pragmatic data solutions * Strong communication skills with the ability to engage both technical and business stakeholders * Analytical and solution-oriented mindset with a focus on delivering outcomes * Adaptable and curious, with a genuine interest in evolving data engineering practices and technologies * Collaborative team player who works effectively across cross-functional teams * Strong organisational skills with the ability to manage multiple priorities * Experience mentoring engineers and contributing to team capability uplift * High attention to detail, with a strong focus on data quality, integrity, and reliability At Ippon, we see things differently both in terms of how we work with our clients and how we engage with our people. As we are a relatively small team, albeit part of a global consultancy, we are focussed on quality, not quantity, when it comes to both our clients and our people. From a client perspective, we work with a select group of enterprises that genuinely value the innovation and value that we deliver. From a people perspective we pay market leading salaries. But we also understand that professional fulfilment is not just about money. We actively support ongoing development in the form of training, attendance at conferences, etc, and we provide staff with the opportunity to contribute to the development and strategic direction of the business. Work life balance is key and we are a flexible organisation, offering 4 day a week option to support your personal and professional development. Ippon is an equal opportunity employer. We are committed to building an inclusive culture that encourages, celebrates and supports our diversity everyday.

Ippon Technologies

About Ippon At Ippon Australia, we are a team of technologists who leverage contemporary thinking and modern engineering practices to help clients solve meaningful business problems. Whether we are modernising legacy platforms, enabling cloud-native delivery, building AI-enabled products or helping enterprise teams improve software delivery performance, we focus on delivering practical outcomes that create measurable value. As part of a global consultancy of 800+ consultants, we combine the agility and ownership of a boutique with the capability and backing of deep partnerships across AWS, Snowflake, Databricks & DBT alongside expertise in software engineering, cloud, data and product delivery. We are now looking for a Head of AI Engineering to shape and grow our AI capability in Australia. ABOUT THE ROLE This is a hands-on, consulting leadership position that combines modern engineering, product thinking, software architecture and applied AI. You will lead the development of our AI capability — helping clients navigate AI adoption responsibly, improving delivery performance, modernising engineering practices and building scalable, secure, AI-enabled products and platforms. You will play a key role in defining our go-to-market proposition, growing capability, supporting strategic client engagements, and mentoring consultants, while remaining close enough to delivery to influence quality and outcomes. We are looking for someone who cares deeply about software craft, believes in practical outcomes over hype, and is excited by the opportunity to help shape a growing capability within a boutique consulting environment. WHAT YOU’LL BE DOING Practice Leadership & Growth Lead and grow Ippon Australia’s AI capability, shaping offerings, delivery standards, ways of working and market positioning. Grow, mentor, and coach our consultants across software engineering, architecture, delivery and AI. Help define repeatable consulting frameworks, assessment models, accelerators and service offerings. Foster a culture grounded in engineering excellence, collaboration, continuous improvement and practical experimentation with AI. Client & Consulting Leadership Act as a trusted advisor to our leadership team. Translate ambiguous business and technical challenges into pragmatic engagement strategies and measurable outcomes. Support pre-sales, proposals, workshops, discovery engagements and executive conversations. Shape AI-enabled transformation strategies across engineering, product, delivery, and architecture. Delivery Excellence Provide technical and consulting oversight across engagements involving software engineering, product development, architecture, platform modernisation and AI-enabled delivery. Champion modern engineering practices including platform thinking, observability, Devops, CI/CD and test automation. Use evidence-based metrics such as DORA and flow metrics to improve delivery performance and team effectiveness. Help clients balance governance, security, compliance, speed and quality in highly regulated environments. Applied AI Leadership Guide clients in the practical adoption of AI, including agentic workflows, LLM-enabled applications, AI-assisted software engineering and intelligent automation. Partner closely with cloud and data practices to connect AI capabilities with AWS, Snowflake, modern data platforms and enterprise architecture. Support responsible adoption of AI through clear approaches to governance, privacy, security and risk management. Identify pragmatic AI use cases that improve software delivery, customer experience, operational efficiency or product outcomes.