Sr. Solutions Architect - Financial Services (Hunter)
Databricks18 days ago
Base Salary
$219k - $301k/yr
Responsibilities
- Drive technical and consumption strategy for the organization’s most complex customer engagements.
- Own senior-level technical relationships and advise executives on enterprise data and AI strategy.
- Lead architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
- Serve as an expert on the Databricks Platform and contribute horizontal technical impact across the team and region.
- Develop competitive strategies and position Databricks against incumbent and emerging platforms.
- Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
- Coach and develop junior solutions architects on technical depth, customer engagement, and use-case prioritization.
- Contribute to field-engineering thought leadership through customer 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-level coding proficiency in Python and SQL, with Spark/PySpark preferred; candidates complete a live coding assessment and platform build.
- Deep expertise in enterprise data architecture, distributed systems at scale, streaming/real-time systems, lakehouse design patterns, data governance, and cloud-native platforms.
- Expert-level Databricks Platform knowledge or equivalent depth in competing platforms with demonstrated ability to learn quickly.
- Recognized technical specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
- Proven success driving consumption growth, platform adoption, competitive displacements, and complex enterprise evaluations.
- Ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy.
- Strategic ability to connect technical architecture decisions to business outcomes and revenue impact.
- Bachelor’s or master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
- Databricks certifications, experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company, published thought leadership, and industry-vertical expertise are preferred.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.