Specialist Solutions Architect, Crypto & Stablecoins

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. ABOUT THE TEAM Specialist Solutions Architects (SSA) are domain experts aligned to specific Stripe solutions and customer buying centers. We have in-depth knowledge of specific solution offerings and understanding of customer’s challenges. We advise the broader pre-sales team on complex opportunities, support pipeline development and revenue attainment, serve as an advisor on go-to-market sales plays, and provide critical insights to our product and engineering teams.  WHAT YOU’LL DO You will collaborate closely with sales and pre-sales teams to drive pipeline and revenue targets, while also educating the product and engineering teams on market trends and strongly influencing the product roadmap. You will develop deep relationships with senior customer business leaders and grow Stripe’s solution offerings with new and existing customers. As a subject matter expert, you will scale the broader organization by creating reusable assets and coaching teams on complex, high-value opportunities. You will also run customer workshops and take the lead on key opportunities. The team is looking for a Payments and Money Movement industry specialist with a proven track record of designing and deploying financial architectures for B2B and B2C enterprises that deliver on key business outcomes. You will engage with Stripe’s customers as a thought leader in the Payments space to lead them through financial infrastructure transformations and maximize for things like authorization rates, simplicity, conversion rates, while reducing risk and fraud rates.  You will extend your experience and expertise to customers to understand their existing architecture and lead them to redesign with Stripe and Stripe’s Optimized Checkout Suite and Link solutions, in order to achieve their business objectives. Your solutions and reference architectures will help customers strategically partner with Stripe to drive better conversion, higher revenue, and successful transformations. Your efforts as a Payments Specialist SA will have a direct impact on driving strategic, scalable engagements with the world’s most complex and innovative enterprises.  RESPONSIBILITIES * Lead customer teams to visualize, strategize, prioritize, implement, and measure impact and growth with Stripe solutions * Partner with customers to co-develop a strategy to embed our Payments capabilities and experiences throughout their platform for online and in-person payments, primarily focused on our Optimized Checkout Suite and Link solutions * Work with business and technology leaders to understand the holistic business strategy and define solution specific architectures that offer opportunities to simplify the payments processes while also reducing costs and risks and improving authorization rates, and conversion rates * Act as a technical consultant to customers to advise on financial architecture best practices that include Stripe as a key part of the solution architecture with the goal to help customers achieve high ROI on their investments * Understand existing financial technologies and architecture for a customers through deep discovery workshops * Be an advisor on change management efforts for product solutions and convey key messages to customers and stakeholders helping prioritize conflicting key performance indicators (timelines vs risk for example) * Create architecture diagrams that can be shared with customers to drive key solution and implementation decisions that accelerate deals and activations * Help Stripe capture additional market share by providing recommendations on Stripe product direction * Uplevel the broader team by developing reusable assets such as scalable value drivers, end-to-end solutions, best practices, architecture guides. * Keep abreast of new relevant technologies and industry knowledge, and showcase technical thought leadership through forums such as whitepapers, conferences, and industry events.  * Approximately 25% travel is anticipated to help you connect in-person in a meaningful way with users and collaborate internally WHO YOU ARE We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 7+ years of experience working in payments, fintech, industry * Knowledge of ISO payment standards * Working knowledge of designing payment flows and architectures for large enterprises * Experience with the different payment methods globally, including BNPLs, wallets, etc. * Understanding of the impact of optimizing payment experiences for checkout conversion for merchants and ability to consult on the best design options for accepting payments * Knowledge of integration of the payment hubs with core banking systems, fraud and risk systems, sanctions screening, and money movement rails * Knowledge in one or more of the following areas: improving conversion, cost optimization, network compliance, processing reliability, cards feature expansion * Experience with large global enterprise scale infrastructure that includes designing and implementing multi-party money movement platforms such as marketplaces * Presents persuasively and authoritatively to peers and senior leadership, while facilitating collaborative conversation * Experience in creating a strategic technology direction, aligning it with tactical activities, and communicating plans broadly across the organization * Ability to communicate effectively across multiple audiences, including firm-wide business units, senior leaders, associates, and external vendors * Ability to travel per business needs PREFERRED QUALIFICATIONS * Experience integrating Stripe or other RESTful APIs into web applications * Experience with online and in-person payments, subscriptions, or other relevant concepts * Experience as a subject matter expert in a relevant industry, vertical, or product

Databricks

FEQ227R130 As a Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Director of Field Engineering, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be performance tuning, machine learning, industry expertise, or more. The impact you will have: * Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment * Architect production level workloads, including end-to-end pipeline load performance testing and optimisation * Provide technical expertise in an area such as data management, cloud platforms, data science, machine learning, or architecture * Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures * Improve community adoption (through tutorials, training, hackathons, conference presentations) * Contribute to the Databricks Community What we look for: * You will have experience in a customer-facing technical role with expertise in at least one of the following: * Software Engineer/Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark or other big data solutions. * Data Scientist/ML Engineer: model selection, model lifecycle, hyper parameter tuning, model serving, deep learning. * Data Applications Engineer: Build use cases that use data - such as risk modelling, fraud detection, customer life-time value. * Experience with design and implementation of big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, OLTP, and OLAP. * Maintain and extend production data systems to evolve with complex needs. * Production programming experience in Python, R, Scala or Java * Deep Specialty Expertise in at least one of the following areas: * Experience scaling big data workloads that are performant and cost-effective. * Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces. * Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking. * Experience with ML concepts covering Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow. * Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) * Native level Korean is required and Business level English is a plus 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.

Databricks

FEQ327R358 As a Specialist Solutions Architect (SSA) - Data Engineering and Warehousing, you will guide customers through cloud data engineering transformations across a wide variety of use cases. In this customer-facing role, you will collaborate with and support Solutions Architects. This requires hands-on production experience with large-scale data engineering technologies and lakehouse architecture. The SSA teams help customers navigate evaluations and successfully plan production for their business intelligence workloads while aligning their technical roadmap with the Databricks Data Intelligence Platform. As a deep go-to expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, continuous learning, and internal training programs. In this role, you will establish yourself as a leader in the data engineering and warehousing specialty. The impact you will have: * Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads. * Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization. * Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization. * Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows. * Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, estimating workload sizing, and custom architectures. * Provide tutorials and training to improve community adoption (including hackathons and conference presentations). * Contribute to the Databricks Community. What we look for: * 8+ years of experience in a technical role with deep expertise across the following areas: * Software / Data Engineering: Hands-on experience with data ingestion, streaming technologies (e.g., Spark Streaming, Kafka), performance tuning, troubleshooting, and debugging Spark or other big data solutions. * Data Applications Engineering: Experience building data-driven use cases, such as risk modeling, fraud detection, and customer lifetime value (LTV). * Data Warehousing: Advanced query tuning, troubleshooting, data governance, and debugging MPP data warehouses or big data solutions. Experience migrating workloads from EDW systems (e.g., traditional SQL, Redshift, Snowflake, Synapse, EMR) across OLAP & OLTP workloads. * Data Observability: Experience with SIEM tools (e.g., Splunk, Elastic, Sentinel), telemetry/high-velocity log ingestion, and anomaly detection. * Proven track record of maintaining, scaling, and extending production data systems to evolve with complex business needs. * Deep expertise across multiple core data engineering domains, including: * Designing and scaling cost-efficient, high-performance data workloads (ETL/ELT, analytics) in cloud environments. * Building and migrating large-scale data pipelines, including batch, CDC (Change Data Capture), and streaming ingestion. * Migrating on-premises or Hadoop-based data systems to modern cloud platforms (AWS, Azure, GCP). * Developing and managing modern lakehouse and warehouse systems, including Delta Lake technologies, data modeling, governance, and BI integration. * Production programming experience in SQL and at least one of the following: Python, Scala, or Java. * Strong familiarity with cloud infrastructure providers (AWS, Azure, or GCP) is highly desirable. * Degree or Equivalent: Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience. * 3+ years of customer-facing experience in a pre-sales or post-sales technical role. * Ability to meet expectations for technical training and role-specific milestones within 6 months of hire. * Willingness to travel up to 30% as needed. 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.