Cloud Partner Solutions Engineer (Microsoft Azure)

Principal Security Engineer - Threat Intelligence

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 has developed a world class cloud data platform that is effective, affordable and accessible to all data users. As we continue to scale globally, we are investing in security capabilities that help us better understand, anticipate, and mitigate threats targeting Snowflake, our customers, and our ecosystem. We are looking for a Principal Security Engineer - Threat Intelligence who will help shape the next phase of Snowflake’s Threat Intelligence program and extend the reach and impact of Threat Intelligence across Snowflake. This role will combine deep intelligence expertise with strong engineering and program leadership skills, with AI and automation as core primitives in how we collect, analyze, prioritize, and operationalize intelligence. The ideal candidate will help Snowflake leadership and security stakeholders make informed, risk-based, and data-driven decisions based on actionable threat intelligence. You will identify and track threat actors targeting cloud-native environments such as Snowflake, translate intelligence into concrete defensive outcomes, and build scalable approaches that improve how intelligence is delivered across the company. This is a principal-level individual contributor role for someone who can operate strategically and technically: driving program maturity, building durable partnerships across Security and Engineering, and engineering AI-assisted workflows that help us move faster without sacrificing quality. WHAT YOU NEED: * Deep experience in threat intelligence, with strong background in several of: adversary intelligence, intrusion intelligence, supply-chain intelligence, identity intelligence, domain intelligence, and threat-informed defense. * Strong understanding of today’s threat actor ecosystem, including nation-state actors, criminal organizations, ransomware groups, fraud ecosystems, and the platforms and communities that enable them. * Demonstrated ability to operationalize threat intelligence and influence security priorities in partnership with detection, incident response, product security, cloud security, anti-abuse, and other stakeholders. * Strong engineering skills, including experience writing code in high-level languages such as Python or Go, building automations, and working with data-heavy security workflows. * Experience building or driving AI-assisted workflows for intelligence analysis, research triage, summarization, collection, prioritization, or investigative support, and good judgment about where AI adds value versus where human analysis is required. * Ability to research threat actors’ TTPs, infrastructure, targets, and objectives, and map those risks to Snowflake’s product, enterprise, and customer environment. * Experience with OSINT tools, data sources, investigative methodologies, and intelligence reporting for technical and executive audiences. * Strong understanding of threat hunting and threat detection methodologies, and the ability to turn intelligence into hunts, detection opportunities, and control recommendations. * A risk-based approach to security, with the ability to prioritize work based on business impact and evolving threat conditions. * A humble, team-oriented mindset with a bias toward collaboration, execution, and raising the bar for the broader team. WHAT YOU WILL DO: * Help define and mature the strategy for Threat Intelligence at Snowflake, including where the program should invest in people, processes, engineering, and AI-enabled capabilities. * Identify, profile, and track threat actors targeting Snowflake, our customers, partners, and ecosystem, and translate that intelligence into relevant, actionable outcomes. * Operationalize threat intelligence to help prioritize security initiatives and drive action with the relevant security teams and stakeholders. * Produce high-quality intelligence reports, assessments, briefs, and leadership-ready communications based on external events, internal requirements, and proactive research. * Engineer solutions that improve the efficiency, scale, and impact of the Threat Intelligence program, including automations, collection pipelines, enrichment workflows, and analyst tooling. * Build and improve AI-assisted intelligence workflows for tasks such as report triage, signal enrichment, summarization, vendor/customer monitoring, and threat-informed hunts, with strong measurement and quality.. * Partner closely with Threat Detection, Incident Response, and other security teams to convert intelligence into detections, threat hunts, investigative pivots, and control recommendations. * Monitor alerts, intelligence feeds, vendor reporting, and external developments for threat events that may affect Snowflake. * Drive standards for how intelligence is curated, evaluated, delivered, and measured so the program remains high-signal, timely, and scalable. * Mentor other engineers and analysts by raising the team’s technical depth, analytic rigor, and operational maturity. MINIMUM QUALIFICATIONS: * Significant experience in threat intelligence, cyber threat research, intelligence engineering, or closely related security disciplines. * Experience researching and tracking sophisticated threat actors targeting cloud-native and SaaS environments. * Experience writing code in a high-level programming language such as Python or Go and using code to automate manual workflows or analyze security data at scale. * Experience handling data programmatically using tools such as SQL and Python, ideally against large datasets relevant to security analytics or intelligence workflows. * Experience collaborating across multiple security functions and communicating effectively with technical stakeholders and leadership. * Strong understanding of enterprise security controls, threat hunting, and detection methodologies. * Experience with one or more major cloud providers (AWS, Azure, GCP) and familiarity with the risks that impact cloud and SaaS environments. PREFERRED QUALIFICATIONS: * Experience leading or materially shaping a Threat Intelligence program at scale. * Experience building AI/ML-assisted security workflows or evaluating AI systems for security use cases. * Experience with data engineering, workflow orchestration, or production-grade systems that support intelligence or security operations at scale. * Experience with Snowflake or equivalent cloud data platforms for large-scale analysis and investigative workflows. * Experience presenting externally, publishing research, or demonstrating thought leadership in the security space. * Experience building capabilities that support intelligence-driven detection, hunting, or response at a global scale. WHY YOU SHOULD WORK WITH US: * We are laser focused on doing security better, and we do not tolerate the status quo. * We have strong demand from our customers and strong support from the business for security, giving us meaningful runway to build next-generation capabilities. * We are a great team with a diverse set of backgrounds and skills, and we care deeply about impact, collaboration, and execution. * You will help solve security problems at global scale, leveraging Snowflake’s platform and modern AI capabilities to raise the bar for defenders. * The opportunity for impact on Snowflake, our customers, and the broader security ecosystem is enormous. ABOUT THE THREAT INTELLIGENCE TEAM: The Threat Intelligence team at Snowflake operates with a vision of proactively detecting threats based on risk and data-driven decisions. Our mission is to proactively identify relevant threat actors and activity through intelligence, and to translate that intelligence into capabilities and decisions that help Snowflake identify threats early and reduce risk to the business. 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. The application window is expected to be open until June 10, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date. 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

Solution Engineer - Data Engineering Specialist (FSI)

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 about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Our Solution Engineering organization is seeking a Data Engineering Specialist to join our Applied Field Engineering team supporting the Financial Services industry sector. We are looking for someone who can provide technical leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem. In this role you will work directly with the sales team to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. You will leverage your expertise, best practices and reference architectures highlighting Snowflake’s Data Platform capabilities across data ingestion, transformation, and lakehouse workloads. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. IN THIS ROLE YOU WILL GET TO: * Apply your multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners * Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation * Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them * Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing ON DAY ONE, WE WILL EXPECT YOU TO HAVE: * 10+ years of architecture and data engineering experience within the Enterprise Data space * 5+ years experience within a pre-sales environment (Sales Engineer, Solutions Engineer, Solutions Architect, etc…) * Proven experience working with Financial Services customers * Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. * Ability to connect a customer’s specific business problems and Snowflake’s solutions * Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture. * Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric * Hands on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies * Deep understanding of data integration services and tools for building ETL and ELT data pipelines such as Apache NiFi, Matillion, Fivetran, Qlik, or Informatica. * Familiarity with streaming technologies (ex. Kafka, Flink, Spark Streaming, Kinesis) and real-time or near real time use cases (ex. CDC) * Experience designing interoperable data lakehouse architectures and experience working with Iceberg, Delta, and Parquet * Strong architectural expertise in data engineering to confidently present and demo to business executives and technical audiences, and effectively handle any impromptu questions * Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred 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. The application window is expected to be open until July 13, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date. 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

SnowCAT Technical Principal

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. About this Position We are looking for a senior leader in the cloud data platform space to join our team and help shape some of the most cutting edge features at Snowflake! This individual will work collaboratively and hands-on with Product Management and Engineering to accelerate customers adopting our most challenging features and architectures. We are looking for an experienced professional capable of both applying their past experiences to new architectures and using their aptitude to learn the next new wave of technologies that can benefit customers on the Snowflake Data Cloud. This position will be a part of the SnowCAT team (Customer Acceleration Team) within the product organization. SnowCAT is a group that brings deep experience with database, application, container, machine learning, and AI technologies to investigate the newest, most demanding customer scenarios and validate emerging features and capabilities in the Snowflake product. SnowCAT team members work closely with product managers, engineering leaders, and a variety of field organizations and customers to turn today’s ‘bleeding edge’ into tomorrow’s mainstream. AS TECHNICAL PRINCIPAL ON THE SNOWCAT TEAM YOU WILL: * Impact Snowflake’s product success in multiple market segments and workloads. * Engage with PM and Engineering across multiple feature areas. * Engage with customer CTO’s and senior business/technical leaders to deploy, prove, evaluate, and advise on new Snowflake capabilities. * Create and advocate for new technical architectures, often backed by sample code. * Dig into selected competing cloud data platform products to evaluate their newest features and best practices and compare them against Snowflake’s capabilities. * Analyze Snowflake telemetry and understand Snowflake’s internals to investigate the root cause for feature behavior, both desired and undesired. * Communicate findings and recommendations effectively and persuasively to Product Management and Engineering leaders. * Partner with various Marketing teams to position Snowflake’s feature advantages to technical field organizations and customers. * Own and execute on multiple, concurrent SnowCAT projects, maintaining a thorough written record of progress. OUR IDEAL TECHNICAL PRINCIPAL WILL HAVE: * Proven expertise as leader or senior contributor in a data-centric software or services team. * Deep familiarity with distributed database architectures, query processing and the drivers of performance. * Comfort integrating diverse tooling on cloud platforms including AWS, Azure and GCP. * Curiosity and motivation to work with a variety of distributed computing / database platforms in the cloud and understand strengths & weaknesses impacting performance * Deep experience with a variety of database-centric workloads including analytic queries, data engineering / ETL, machine learning, streaming data / IOT, and transaction processing. * Expert SQL skills and strong experience in other programming languages/frameworks adjacent to Snowflake, including but not limited to Python, Java, Javascript, Scala, etc. * Experience with agents/LLMs, containerized services, data intensive applications, and/or machine learning model development. * Strong vibe coding skills to build synthetic workloads and prototypes to stress platforms and features. * Excellent communication skills in presenting to technical audiences inside and outside the company. * An ability to thrive in the dynamic environment that comes with being part of a hyper-growth company. That means flexibility and willingness to jump in and do whatever it takes to be successful. * Proven expertise in understanding the voice of the customer and partnering across engineering, marketing, and sales to deliver compelling products that meet those customers’ needs. * 20+ years of experience in a technical role for data-centric software or services -- testing and tuning products, implementing complex solutions with customers, product management, or benchmarking. Snowflake is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. 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