Senior Solutions Architect
Databricks3 hours ago
Base Salary
$219k - $301k/yr
Responsibilities
- Drive technical and consumption strategy for complex customer engagements and influence platform adoption and revenue growth.
- Own senior-level technical relationships and advise enterprise customers on data and AI strategy.
- Lead complex 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 drive technical impact across the team and region.
- Develop competitive strategies, lead competitive displacements and enterprise evaluations, and position Databricks against other platforms.
- 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, community engagement, blogs, conference talks, or open-source work.
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, with Spark or PySpark preferred; the interview includes a live coding assessment and platform build.
- Deep expertise in distributed systems, streaming and real-time architectures, 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 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 and ability to connect 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.
Benefits
- Comprehensive benefits and perks are offered, with specific details varying by region.
- The compensation package may include an 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.