Technical Architect, Migrations

Senior Technical Architect, Data Engineering

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. Enterprises are modernising data platforms and processes at a growing rate to meet the demands of their customers. A majority of this journey requires not just technical expertise but also the ability to drive predictability, and manage complexity. Snowflake’s Professional Services Organisation offers our customers a market-leading set of technical capabilities as well as best practices for modernisation based on experienced leadership. Our portfolio of modernisation solutions spans data migrations, validation, application development, data sharing, lakehouse implementations, data science, and AI. As a Solutions Architect in our team, you will be responsible for delivering exceptional outcomes for our teams and customers during our modernisation projects, with a focus on modern data architectures including lakehouses and streaming data. You will engage with customers to migrate from legacy data platforms, including those based on Cloudera, and build modern data pipelines and lakehouse solutions on Snowflake where customers can then leverage downstream AI and Machine Learning solutions. You will act as the technical lead and expert for our customers throughout this process, guiding customers through decision paths to achieve impactful outcomes and thoughtfully use AI to augment their business In addition to customer engagements, you will work with our internal team to provide requirements for our Snowconvert utility, based on project experiences. This ensures that our tooling is continuously improved based on our implementation experience. This role will report to the Director of specialised Workload Solutions team within the PS&T organization at Snowflake. KEY RESPONSIBILITIES: Delivery * Be well-versed in migrations of applications, code, and data onto cloud platforms - and how to lead design of the subsequent services onto Snowflake, including lakehouse architectures using Iceberg * Have the ability to outline the architecture of Spark, Scala, and Cloudera environments. * Guide customers on architecting and building data engineering pipelines on Snowflake, including streaming data ingestion and processing * Design and implement data ingestion and transformation pipelines using Apache NiFi. Architect and implement Iceberg based lakehouse solutions on Snowflake * Run workshops and design sessions with stakeholders and customers * Troubleshoot migration and implementation issues * Create repeatable processes and documentation as a result of customer engagement. Scripting using Python and shell scripts for ETL workflow * Develop best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own * Provide guidance on how to resolve customer-specific technical challenges * Outline a testing strategy and plan * Optimize Snowflake for performance and cost * Design and implement solutions for streaming data ingestion and processing Product Strategy * Communicate requirements for capabilities on Snowpark conversion for Scala/Python and Spark based back end software modules * Communicate requirements for design and development of back end big data frameworks for enhancements to our Snowpark platform * Weigh in on and develop frameworks for Distributed Computing, Apache Spark, PySpark, Python, HBase, Kafka, REST based API, and Machine Learning as part of our tools development (Snowconvert) and overall modernization processes * Provide input on Snowflake's Lakehouse capabilities and integration with Iceberg * Coach and guide customers on how to best use Snowflake’s suite of AI Tools OUR IDEAL SOLUTIONS ARCHITECT WILL HAVE: * Bachelor's degree in a technical discipline or equivalent practical experience * 7+ years of experience in a customer-facing technical role dealing with complex, technical implementation projects and with a proven track record of delivering results with multi-party, multi-year digital transformation engagements * Experience in Data Warehousing, Business Intelligence, application modernisation, lakehouse implementations, or Cloud projects, including building realtime and batch data pipelines using Apache Spark and Apache NiFi * Experience with implementing Apache Iceberg or other open table format(Delta, Hudi) based lakehouse solutions * Experience with streaming data technologies and patterns * Experience with Cloudera platform and migrations from Cloudera * Familiarity with AI/ML and Transformation technologies * Familiarity with ML Ops standard practices * Familiarity with prompt engineering techniques * Ability to deliver outcomes for customers in a new arena and with a new product set * Ability to learn new technology and build repeatable solutions/processes * Ability to anticipate project roadblocks and have mitigation plans in-hand * Proven ability to communicate and translate effectively across multiple groups from design and engineering to client executives and technical leaders * Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations * Ability and flexibility to travel to work with customers on-site as needed Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. 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

Manager, Technical Delivery

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. Snowflake is transforming the future of data and we are looking for a dynamic Manager, Technical Delivery to lead our Snowflake Professional Services team. As strategic experts in implementing the Snowflake platform, we engage with customers to optimise, accelerate, and drive meaningful business outcomes through cutting-edge technology solutions. As a Manager, Technical Delivery, you will lead teams executing complex migrations from legacy systems to the Snowflake platform. Your role will involve close collaboration with customers and system integrators to understand requirements, design robust migration strategies, and oversee seamless transitions. Your leadership will ensure that Snowflake is positioned as the premier solution in data warehousing and analytics, influencing both technical and executive stakeholders. AS A MANAGER, TECHNICAL DELIVERY AT SNOWFLAKE, YOU WILL: * Lead and develop a team of Solutions Architects and Consultants, who serve as our Snowflake implementation, optimisation, development and delivery experts. • Mentor and manage a team of Snowflake Solutions Architects and Consultants helping them to develop their expertise * Play an active role in sourcing and screening potential candidates and managing the interview process * Be a technical expert on all aspects of Snowflake * Provide delivery quality oversight and guidance for Snowflake engagements by ensuring adherence to technical and delivery best practices * Work with Professional Services Practice Directors and Sales Account Team on sales pursuits – scoping migration projects, performing code assessments, pricing services, creating statements of work * Develop methodologies to improve our services delivery * Provide guidance on how to resolve customer-specific technical challenges • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing * Present our methodologies, capabilities to both internal teams, external partners and customers OUR IDEAL MANAGER, TECHNICAL DELIVERY WILL HAVE: * Minimum 10 years of experience working with customers in a pre-sales or post-sales technical role * Minimum 5 years of people management experience; experience mentoring, coaching and developing teams * Minimum 5 years of experience in selling professional services; scoping large projects, writing statements of work * Extensive knowledge of and experience with large-scale database technology (e.g. Oracle, Teradata, Netezza, Greenplum, etc.) * Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase) * Familiarity and experience with common data integration and data transformation tools (e.g. Informatica, DataStage, Talend, Matillion) * Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau) * University degree in computer science, engineering, mathematics or related fields, or equivalent experience * Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos * Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools * Strong skills in databases, data warehouses, and data processing * Extensive hands-on expertise with SQL and SQL analytics * Experience working with Code Agents in automating and accelerating development * Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events * Scripting experience with Python, Ruby, Perl, Bash * Ability and flexibility to travel to work with customers on-site up to 25% of the time Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. 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 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 Professional Services team to help create exciting new offerings and capabilities for our customers! This team will be working with customers using Snowflake to expand their use of the Snowflake 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 more strategic, advising our clients on best practices and advice to implement Data Science workloads on Snowflake. You will be designing solutions based on requirements and coordinating with customer teams, and where needed Systems Integrators, while maintaining oversight and direction to ensure successful outcomes 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 * Provide customers with best practices and advise as it relates to Data Science workloads on Snowflake * 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, to build POCs that demonstrate implementation techniques and best practices on Snowflake technology within the Data Science workload * 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 Professional Services team develop their expertise * Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing OUR IDEAL TECHNICAL ARCHITECT - AI/ML WILL HAVE : * University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience * Minimum 6 years experience working with customers in a pre-sales or post-sales technical role * Outstanding 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 AWS Sagemaker, AzureML, Dataiku, Datarobot, H2O, and Jupyter Notebooks * Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala * Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn or similar BONUS POINTS FOR HAVING : * Experience with GenerativeAI, LLMs and Vector Databases * Experience with Databricks/Apache Spark * 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 Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. 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