1 час назад
Senior Solutions Architect (Financial Services)
219 100 - 301 300$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Solutions Architect (Financial Services) (Databricks Platform/Enterprise Data and AI): Driving technical and consumption strategy for complex financial-services customer engagements with an accent on enterprise data architecture, platform adoption, and executive-level technical influence. Focus on designing distributed, streaming, lakehouse, migration, and AI/ML architectures, leading competitive evaluations, and orchestrating enterprise solution delivery.
Location: United States — Georgia, Illinois, Massachusetts, New York, North Carolina, Texas, Virginia, and Washington, D.C.
Salary: $219,100–$301,300 USD annually, with potential bonus, equity, and benefits.
Company
Databricks develops a unified Data and AI Platform for analytics, applications, agents, lakehouse workloads, and data governance.
What you will do
- Drive technical and consumption strategies for complex customer engagements, increasing platform adoption and revenue impact.
- Own senior technical relationships and advise enterprise customers 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 position Databricks against incumbent and emerging platforms.
- Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
- Mentor junior solutions architects and contribute to customer-facing thought leadership, 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 experience is 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 depth in competing platforms.
- Recognized technical specialization in areas such as real-time architecture, ML/AI platforms, data governance, large-scale migrations, or industry solutions.
- Experience driving platform adoption, leading competitive displacements, influencing executive stakeholders, and connecting architecture decisions to business outcomes.
Nice to have
- Databricks certifications.
- Experience at Databricks, Snowflake, AWS, Google, Microsoft, or another leading data and AI company.
- Published thought leadership, conference talks, or open-source contributions.
- Industry expertise with executive-level domain credibility.
Culture & Benefits
- Comprehensive region-specific benefits and employee perks.
- Inclusive workplace with equal employment opportunity practices.
- Potential annual performance bonus and equity.
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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