• Lead discovery & architecture of customer data strategies, ensuring alignment between business goals, data models, and AI-driven use cases • Assess existing data ecosystems, including legacy data warehouses, cloud platforms, and integrations, to define the optimal Data Cloud architecture and migration strategy • Design scalable and secure data architectures on Salesforce Data Cloud—defining DLOs, DMOs, identity resolution strategies, and real-time data activation patterns • Develop enterprise-level solution blueprints, integration frameworks, and reference architectures that align with Salesforce and NeuraFlash best practices • Collaborate cross-functionally with data engineers, architects, product managers, and Salesforce technical teams to ensure seamless delivery • Serve as a trusted advisor to both customers and Salesforce teams—demonstrating how Data Cloud unlocks value across Service, Marketing, and AgentForce use cases • Architect and oversee integrations between Salesforce Data Cloud, MuleSoft, Snowflake, and other enterprise systems using real-time and batch patterns • Own pre-sales architecture in partnership with account executives—build solution demos, estimates, and presentations that articulate the business value of Data Cloud • Evangelize the Salesforce Data Cloud vision, including modern data activation, zero-copy architecture, and industry-specific applications • Explore and implement emerging AI capabilities, including GPT & LLM-driven use cases powered by unified customer data

Role Description We are seeking a Solutions Engineer to architect and scale technical integrations for mortgage lending partners. This role sits at the intersection of Sales, Product, and Engineering and is responsible for designing integration solutions, accelerating onboarding, and ensuring partners fully leverage our API, webhook, and identity infrastructure. You will work with enterprise and institutional partners from technical discovery through integration and early scale as a trusted technical advisor. You will work directly with partners to ensure implementations are robust and scalable. Your core responsibilities will include: - Designing and documenting integration architectures, workflows, and data exchanges. - Guiding partners through implementation using clear technical best practices. - Proactively mitigating integration risks to accelerate onboarding and troubleshoot complex issues during implementation and early production. - Helping build more scalable onboarding infrastructure — including documentation, integration templates, and reusable patterns — to enable efficient, repeatable partner launches. Qualifications - 7+ years of experience in Solutions Engineering, Technical Consulting, Solution Architecture, or a similar customer-facing technical role. - Strong fluency with APIs and integration patterns (REST, JSON, webhooks), including the ability to design and debug end-to-end integrations. - Deep understanding of authentication and identity standards (OAuth 2.0, SAML, SCIM) and secure system design principles. - Proven experience partnering with enterprise engineering teams to implement scalable, production-grade integrations. - Ability to architect full system workflows and data exchanges — not just explain endpoints — with clear tradeoff analysis. - Experience translating ambiguous partner requirements into structured technical implementation plans and strong troubleshooting skills with the ability to diagnose complex technical issues across distributed systems. - Excellent written and verbal communication skills with an affinity for technical documentation. - Comfortable influencing cross-functional stakeholders (Product, Engineering, Compliance, Partnerships) and providing actionable product feedback. - Experience in fintech (or regulated financial services environments) and familiarity integrating with CRMs, Loan Origination Systems (LOS), and other financial platforms is a plus. Requirements - Lead technical discovery sessions with prospective and signed partners. - Understand partner systems (CRM, LOS, servicing platforms, identity providers). - Design scalable API and webhook integration architectures. - Recommend preferred implementation patterns and identify edge cases and platform constraints early. - Document solution designs for internal and external stakeholders. - Serve as the primary technical advisor during API onboarding. - Guide partners through REST API, webhook, authentication, and SSO flows. - Support sandbox testing and production readiness. - Reduce integration time by standardizing implementation patterns. - Bridge partner engineering teams with internal Product and Engineering. - Identify opportunities to expand API and real-time data usage. - Improve partner workflows to increase throughput and ROI. - Surface product gaps with structured technical feedback. - Contribute to improved documentation and integration playbooks. Benefits - Comprehensive health, vision, and dental insurance with 100% employer-paid premiums for employees and their dependents on select plans. - Company HSA, FSA, Dependent Care, 401k, and commuter benefits. - Employer-funded life and disability insurance coverage. - 11 Observed Holidays & PTO plan. - Up to 12 weeks paid family leave. - Continuing education reimbursement.

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. 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 an AI/ML specialist to join our Solutions Engineering team, while supporting our Financial Services sector. We are looking for a Snowflake expert who can provide AI/ML technical guidance, while 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 AI/ML 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 technical 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: - 5+ years of data engineering experience within the Enterprise Data space with a strong preference for candidates possessing deep, hands-on Snowflake architecture experience. - 3+ years experience working with AI/ML technologies - 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, 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. 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 The following represents the expected range of compensation for this role: - This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $220,000 - $288,750. The estimated base salary for this role is $165,000 - $216,562. - Additionally, this role is eligible to participate in Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

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. 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 an AI/ML specialist to join our Solutions Engineering team, while supporting our Media & Entertainment sector. We are looking for a Snowflake expert who can provide AI/ML technical guidance, while 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 AI/ML 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 technical 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: - 5 - 10+ years of data engineering experience within the Enterprise Data space with a strong preference for candidates possessing deep, hands-on Snowflake architecture experience. - 5+ years experience working with AI/ML technologies - 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, 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. 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 The following represents the expected range of compensation for this role: - This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $252,000 - $330,750. The estimated base salary for this role is $189,000 - $248,062. - Additionally, this role is eligible to participate in Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.