Innovation Architect

Solutions Architect

Databricks

FEQ427R98 Location: Sydney At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! This is a hybrid role based in Sydney.  The impact you will have:  * Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. * Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. * Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. * Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: * Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions. * Develop customer relationships and build internal partnerships with account executives and teams. * Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. * Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).   * Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth. 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.

Technical Architect, AI/ML

Snowflake

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. AS A TECHNICAL ARCHITECT, AI/ML AT SNOWFLAKE, YOU WILL: * Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload * Build, deploy and ML pipelines using Snowflake features and/or Snowflake ecosystem partner tools based on customer requirements * Work hands-on where needed using SQL, Python, and APIs to build POCs that demonstrate implementation techniques and best practices on Snowflake technology for GenAI and ML workloads * Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own * Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them * Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments * Provide guidance on how to resolve customer-specific technical challenges * Support other members of the Services Delivery team develop their expertise * Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing * Ability and flexibility to travel to work with customers on-site 25% of the time OUR IDEAL TECHNICAL ARCHITECT, AI/ML WILL HAVE: * Minimum 10 years experience working with customers in a pre-sales or post-sales technical role * Skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos * Thorough understanding of the complete Data Science life-cycle including feature engineering, model development, model deployment and model management. * Strong understanding of MLOps, coupled with technologies and methodologies for deploying and monitoring models * Experience and understanding of at least one public cloud platform (AWS, Azure or GCP) * Experience with at least one Data Science tool such as Sagemaker, AzureML, Vertex, Dataiku, DataRobot, H2O, and Jupyter Notebooks * Experience with Large Language Models, Retrieval and Agentic frameworks * Hands-on scripting experience with SQL and at least one of the following; Python, R, Java or Scala. * Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn or similar * University degree in computer science, engineering, mathematics or related fields, or equivalent experience BONUS POINTS FOR HAVING: * Experience with Generative AI, LLMs and Vector Databases. * Experience with Databricks/Apache Spark, including PySpark * Experience implementing data pipelines using ETL tools * Experience working in a Data Science role * Proven success at enterprise software * Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc 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

Senior Solutions Architect

Mongodb

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