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Описание вакансии
Текст:
TL;DR
Senior Solutions Architect (Fintech): Leading complex customer architecture engagements for enterprise data and AI platforms, with an accent on Databricks, distributed systems, real-time processing, lakehouse design, and executive-level technical strategy. Focus on driving platform adoption, designing migrations and AI/ML systems at scale, leading competitive evaluations, and mentoring solutions architects.
Location: Georgia, Massachusetts, New York, North Carolina, or Washington, D.C.; exceptionally well-qualified candidates in other East Coast locations may also be considered.
Salary: $219,100–$301,300 USD annually, plus potential performance bonus, equity, and benefits.
Company
Databricks provides a unified Data + AI Platform for building and scaling data, analytics, and AI applications.
What you will do
- Drive technical and consumption strategies for complex enterprise customer engagements.
- Own senior-level technical relationships and advise executives 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, product teams, and other cross-functional contributors.
- Coach junior solutions architects and contribute to customer-facing thought leadership.
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 for the role.
- Deep expertise in distributed systems, streaming and real-time architectures, lakehouse design, data governance, and cloud-native platforms.
- Expert-level Databricks Platform knowledge or equivalent expertise with competing platforms and demonstrated ability to learn quickly.
- Recognized specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
- Experience influencing executive stakeholders, driving platform adoption, leading competitive evaluations, and connecting architecture decisions to business outcomes.
Nice to have
- Databricks certifications.
- Experience at Databricks, Snowflake, AWS, Google, Microsoft, or a leading data and AI company.
- Published thought leadership, conference talks, or open-source contributions.
- Industry expertise with executive-level domain credibility.
Culture & Benefits
- Comprehensive benefits and perks tailored to the employee's region.
- Potential annual performance bonus and equity eligibility.
- Inclusive workplace committed to equal employment opportunity and diversity.
Hiring process
- Recruiter screen followed by a hiring manager screen.
- Design and architecture interview, live coding assessment, and Build, Demo, Pitch! presentation.
- Reference check.
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