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Высокая зарплатаЧеткие обязанностиПродуктовая компанияСтарший уровень
Оценка от Hirify AI
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Hirify AI/Оригинал
TL;DR
Sr. Solutions Architect (Financial Services): Leading complex customer architecture engagements for enterprise data and AI platforms in banking and payments with an accent on Databricks, distributed systems, real-time processing, lakehouse design, and data governance. Focus on driving platform adoption, designing large-scale migrations and AI/ML systems, influencing executive stakeholders, and orchestrating cross-functional delivery.
Location: Connecticut, Massachusetts, New York, North Carolina, St. Louis, Missouri, or Washington, D.C.
Salary: $219,100–$301,300 USD annually; total compensation may also include an annual performance bonus, equity, and benefits.
Company
Databricks provides a unified Data and AI Platform for building and scaling data, analytics, and AI applications.
What you will do
Drive technical and consumption strategy for complex customer engagements, influencing platform adoption and revenue growth.
Own senior-level technical relationships and advise enterprise stakeholders on data and AI strategy.
Lead architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
Develop competitive strategies and lead complex enterprise evaluations and platform displacements.
Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
Mentor junior solutions architects and contribute to field-engineering thought leadership through content, workshops, and community engagement.
Requirements
8+ years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
Expert coding proficiency in Python and SQL; Spark or PySpark is strongly preferred.
Deep expertise in distributed systems, streaming and real-time architectures, lakehouse design, data governance, and cloud-native platforms.
Expert knowledge of the Databricks Platform or equivalent expertise in competing platforms.
Recognized technical specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry solutions.
Bachelor’s or master’s degree in computer science, engineering, or a quantitative discipline, or equivalent experience.
Nice to have
Databricks certifications.
Experience at Databricks, Snowflake, AWS, Google, Microsoft, or another top-tier data and AI company.
Published thought leadership, conference talks, or open-source contributions.
Industry expertise with executive-level domain credibility.
Culture & Benefits
Comprehensive employee benefits and region-specific perks.
Potential eligibility for an annual performance bonus and equity.
Inclusive hiring practices and a commitment to diversity and equal opportunity.
Hiring process
Recruiter screen and hiring manager screen.
Design and architecture interview, followed by a live coding assessment.
Build, demo, and pitch presentation, followed by a reference check.
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