Solutions Architect - Banking and Capital Markets (FINS)

Role overview

Lead technical strategy for customer accounts, from early discovery through production deployment and sustained platform adoption. You’ll advise senior technical stakeholders and design scalable data and AI architectures, while building deeper expertise in a technical area that can support your wider team.

Responsibilities

- Own account technical strategy from discovery to deployment and increased platform usage. - Lead architecture discussions and design production systems for data engineering, machine learning, AI, and real-time analytics. - Advise customer architects, engineering leaders, and directors through design reviews, whiteboarding, and trade-off analysis. - Demonstrate solutions in competitive situations, including by building tailored technical examples. - Coordinate specialists and partners to address complex customer needs. - Share structured feedback on customer requirements and competitive gaps to inform product direction.

Requirements

- At least six years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role. - Strong Python and SQL skills, including the ability to code, debug, and build solutions live. - Deep understanding of distributed data systems, such as scalable pipelines, streaming architectures, lakehouse patterns, and cloud data platforms. - Experience with production deployments on AWS, Azure, or Google Cloud, including infrastructure, security, and governance. - Ability to lead architecture conversations with senior technical stakeholders and explain trade-offs. - A record of growing platform adoption, plus strong communication skills for both technical and executive audiences. - Bachelor’s or master’s degree in computer science, engineering, or a quantitative field, or equivalent experience.

Nice to have

- A developing specialization such as streaming, machine learning and AI, data governance, or migrations. - Relevant platform certifications, familiarity with competing data platforms, or experience at a data, AI, or cloud provider. - Industry expertise in areas such as financial services, healthcare, retail, or media.

Benefits and work setup

- Local pay range: $180,000–$247,500 USD. Total compensation may also include an annual bonus, equity, and benefits; details vary by location.