
Snowflake · Sydney
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by...
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every
function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate
curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for
low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test
emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a
function, but to help redefine the future of how work gets done.
We are looking for people who have a strong background in data science and cloud architecture to join our AI/ML Workload Services
team to create exciting new offerings and capabilities for our customers! This team within the Services Delivery group will be
working with customers using Snowflake to expand their use of the Data Cloud to bring data science pipelines from ideation to
deployment, and beyond using Snowflake's features and its extensive partner ecosystem. The role will be highly technical and
hands-on, where you will be designing solutions based on requirements and coordinating with customer teams, and where needed
Systems Integrators.
practices on Snowflake technology for GenAI and ML workloads
capabilities of Snowflake on their own
position Snowflake in relation to them
environments
deployment and model management.
Notebooks
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who
share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and
Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits
information: careers.snowflake.com
CSQ327R50 Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence—and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering for NSW, you will lead a high-performing team of Forward Deployed Engineers and AI Engineers at the forefront of this transformation. Partnering with Databricks' most strategic enterprise accounts, you will shape how Australia’s leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with ASX100 enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. THE IMPACT YOU WILL HAVE: * Drive regional performance targets—including billable utilisation, team growth, and hiring—while championing delivery excellence and customer success across the ANZ FDE portfolio * Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics * Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality standards that scale with a growing RSA & AI Engineering practice * Act as executive escalation point for critical customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive resolution * Develop and retain exceptional technical talent: mentor Resident Solutions Architects and AI Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth WHAT WE LOOK FOR: * 4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organisations—with a proven track record of building excellence-driven cultures * 5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners * Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Finance, Healthcare, Retail, Telco, or Energy * Strong executive presence and stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level * Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued 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.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for a Principal Solution Engineer who will serve as a dedicated trusted advisor and proactive strategic technology partner for our customers in Financial Services. In this role you will work directly with C-level executives, data leaders, and engineering teams to influence the data, AI and technology roadmap while driving expanded consumption and adoption of Snowflake's AI Data Cloud platform. You will also serve as the technical customer advocate internally at Snowflake, working closely with our product managers and technical executive sponsors to ensure customer needs drive product innovation. As a Snowflake Principal Solution Engineer you must excel at translating complex technical concepts into compelling business value propositions that resonate with executive stakeholders. You thrive in strategic account environments, have exceptional C-level communication skills, and possess the gravitas to influence technology roadmaps at the highest organizational levels. You are equally comfortable presenting to boards and CEOs as you are collaborating with engineering teams and advocating for customer requirements with our internal product organization. IN THIS ROLE YOU WILL GET TO: * Present Snowflake's AI Data Cloud technology and strategic vision to C-level executives, translating complex technical capabilities into clear business value propositions that drive strategic decision-making * Work hands-on with our customer’s technical teams to architect sophisticated data and AI solutions while communicating business impact and ROI to executive leadership through quarterly business reviews and strategic planning sessions * Serve as the customer’s primary technical advocate within Snowflake, partnering closely with our product managers and technical executive sponsors to ensure their strategic needs influence our product roadmap and feature development priorities * Immerse yourself in the customer’s business model, competitive landscape, and strategic priorities to proactively identify opportunities where Snowflake's platform can accelerate their innovation and market leadership * Lead executive briefings, strategic architecture sessions, and board presentations that align technical roadmaps with business strategy and competitive positioning * Collaborate with Snowflake's Product Management, Engineering, and executive leadership to continuously improve our products based on strategic customer feedback and requirements ON DAY ONE WE WILL EXPECT YOU TO HAVE: * 10+ years of industry experience with significant C-level executive exposure and proven track record managing large enterprise accounts * Proven success in financial services is essential, with the ability to balance the needs of the centralised architecture and engineering divisions with those of the organizational business units (Retail, Business, Institutional, Wealth, Risk) * Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) * Deep expertise in cloud data platforms, AI/ML technologies (including LLMs, machine learning pipelines, and MLOps), data warehousing, and modern data architecture * Hands-on expertise with SQL, Python, and data modeling concepts, with ability to explain complex technical architectures in business terms * Exceptional presentation and communication skills specifically with C-level executives, including demonstrated ability to translate highly complex technical concepts into compelling business value propositions that drive executive decision-making * Proven experience working with product management teams to influence roadmaps, prioritize features, and drive customer-centric development through effective internal advocacy * Outstanding ability to conduct executive briefings, board presentations, and strategic planning sessions with senior leadership teams across technical and business functions * Strong track record of internal advocacy within technology companies, representing customer needs to product and engineering organizations while facilitating cross-functional collaboration * University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in Data Science or Business Administration is a plus * Experience facilitating C-level strategic planning sessions focused on data and AI strategy would be beneficial but not required ABOUT OUR TEAM: Our Principal Solution Engineers are customer obsessed and serve as the bridge between our most strategic customers and our internal product organization. We believe in the transformative power of executive relationships and technical advocacy. We love to learn, are open to giving and receiving feedback, and are passionate about making our clients successful while ensuring their voice shapes Snowflake's future. Our team works to ensure data is accessible, usable and valuable to everyone while driving product innovation through customer advocacy. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Sydney for our hybrid working model. AS AN IDEAL CANDIDATE, YOU WILL HAVE * Ideally 8 - 11 years of related experience in a customer facing role, minimum 3 years of experience in pre-sales with enterprise software * Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity * Experience designing with scalable and highly available distributed systems in the cloud and on-prem * Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology * Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership * Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan * The ability to travel up to 50% * A Bachelor’s degree or equivalent work experience YOU MAY ALSO HAVE * Experience selling databases and/or deploying applications with any of the major cloud providers * Experience with database programming and data models * Experience in data engineering or AI/ML projects * Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks * Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message * A MongoDB Certification * A Cloud Provider Certification WHAT YOU DO AT MONGODB In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will * Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB * Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders. * Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation) * Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events * Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction * Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members * Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends WHAT YOU WILL LEARN MongoDB Product Suite Mastery * Core Database Server: Master the fundamentals and advanced features of MongoDB's core database * Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts * Relational Migrator: Learn to migrate from relational databases seamlessly Market-Relevant Technologies * Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms. * Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes. Modern Architecture Design * Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security * Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space Sales Techniques and Soft Skills * Effective Communication: Master presentations, demonstrations, and whiteboarding * Client Interaction: Develop strategies for discovery and objection handling Industry Insights * Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID - 426294