Sr. Solutions Architect - Digital Native Business (Strategic Accounts)

Role overview

A senior solutions architect role focused on the most complex strategic accounts within the digital native business segment. The position blends deep technical authority with executive influence, shaping platform consumption strategy for enterprise data and AI workloads at the highest levels of customer engagement.

Responsibilities

- Define and drive the technical and consumption strategy for the most complex customer engagements, directly influencing platform adoption and revenue growth. - Build and own senior-level technical relationships, acting as a trusted advisor on enterprise data and AI strategy. - Lead complex architecture engagements spanning multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale. - Serve as a declared technical specialist, mentoring peers and amplifying impact across the regional team. - Develop and execute competitive strategies against incumbent and emerging platforms. - Orchestrate cross-functional teams of architects, specialists, partners, and product to deliver enterprise-grade solutions. - Coach and develop junior architects on technical depth, customer engagement, and use case prioritization. - Contribute to field engineering thought leadership through customer-facing content, workshops, and community engagement.

Requirements

- 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role. - Expert-level coding proficiency in Python, SQL, and ideally Spark/PySpark, including a live coding assessment and platform build during the interview. - Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms. - Recognized depth in a declared technical specialization such as real-time architectures, ML/AI platforms, data governance, or large-scale migrations. - Executive presence with a proven ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy. - Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent practical experience.

Nice to have

- Industry-recognized certifications for major data or AI platforms. - Prior experience at a top-tier data, cloud, or AI company. - Published thought leadership such as blogs, conference talks, or open-source contributions. - Strategic account expertise with executive-level domain credibility.

Benefits and work setup

- Listed local pay range of $219,100–$301,300 USD, with total compensation potentially including annual performance bonus and equity. - Comprehensive benefits package with details varying by region. - Commitment to fair, equitable, and inclusive compensation and hiring practices.