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Sr. Solutions Architect - Financial Services (Hunter)

Databricks· Engineering
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Hybrid (Multiple U.S. locations)$219.1k - $301.3kfull-timePosted 1mo ago

About the role

Senior-level technical leader responsible for the organization's most complex customer engagements, driving consumption strategy, owning executive-level relationships, and serving as the definitive technical authority across accounts.

Responsibilities

  • Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth.
  • Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy
  • Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale
  • Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team
  • Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms
  • Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions
  • Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization
  • Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement

Qualifications

  • 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role
  • Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. Live coding assessment and platform build during interview
  • Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms
  • Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms) with rapid learning ability
  • Declared technical specialization with recognized depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions
  • Proven track record of driving consumption growth and platform adoption in large accounts
  • Executive presence — ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy
  • Experience leading competitive displacements and complex enterprise evaluations
  • Strong strategic thinking — linking technical decisions to business outcomes and revenue impact
  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent); advanced degrees valued

Skills

Required:PythonSQLSpark/PySparkEnterprise data architecture

Benefits

  • Benefits detailed by region are available via provided link
Last updated Sep 17, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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