Sr. Solutions Architect - Digital Native Business (Strategic Accounts)
Databricks8 hours ago
Base Salary
$219k - $301k/yr
Responsibilities
- Drive technical and consumption strategy for complex strategic 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 a Databricks Platform expert, mentor other Solutions Architects, and create horizontal impact across the team and region.
- Develop competitive strategies and lead competitive displacements and complex enterprise evaluations.
- Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
- Coach junior Solutions Architects on technical depth, customer engagement, and use-case prioritization.
- Contribute customer-facing 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-level coding proficiency in Python and SQL, ideally with Spark/PySpark; the interview includes a live coding assessment and platform build.
- Deep expertise in distributed systems at scale, streaming and real-time architectures, lakehouse design patterns, data governance, and cloud-native platforms.
- Expert-level knowledge of the Databricks Platform or equivalent depth with competing platforms and 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 and platform adoption in large accounts.
- Ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy.
- Strong strategic thinking that connects 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 leading data/AI company, published thought leadership, and strategic account expertise are preferred.
Benefits
- Databricks offers comprehensive benefits and perks, with specific offerings varying by region.
- The role has a listed local pay range of $219,100–$301,300 USD; total compensation may also include annual performance bonus and equity.
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.