Solutions Architect - Digital Native Business (DNB)

Role overview Guide customers from early technical discovery through production deployment and continued adoption of data and AI platforms. You will lead architecture work across data engineering, machine learning, AI, and real-time analytics, while acting as a trusted technical advisor and developing recognized expertise in a particular area.

Responsibilities - Set technical strategy for customer accounts, from initial discovery through deployment and expanded platform use. - Design scalable production architectures, including data pipelines, streaming systems, and cloud-based data platforms. - Advise customer architects, engineering leaders, and directors through whiteboarding, design reviews, and trade-off discussions. - Build tailored solutions to demonstrate technical value in competitive evaluations. - 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 6 years in solutions architecture, data engineering, technical pre-sales, or another senior hands-on technical role. - Strong Python and SQL skills, including the ability to code, debug, and build solutions live. - Deep knowledge of distributed data systems, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native platforms. - Experience with production deployments on AWS, Azure, or GCP, including infrastructure, security, and governance considerations. - Ability to lead architecture discussions and explain technical designs in terms that matter to both engineers and executives. - A bachelor’s or master’s degree in computer science, engineering, or a quantitative discipline, or equivalent experience.

Nice to have - A developing area of technical depth, such as streaming, machine learning and AI, data governance, or migrations; proficiency with the relevant platform is expected or should be achievable quickly. - Data engineering, machine learning, or platform certifications; experience with competing data platforms; or work in a data and AI company or cloud provider. - Experience in an industry such as financial services, healthcare, retail, or media.

Benefits and work setup The source describes potential eligibility for an annual performance bonus and equity, alongside region-specific benefits. It lists a local pay range of $180,000–$247,500 USD; actual compensation depends on experience, qualifications, and location.