Senior Solutions Architect - Retail, Consumer Goods, Travel & Hospitality
Databricks3 hours ago
Base Salary
$219k - $301k/yr
Responsibilities
- Drive technical and consumption strategies for complex customer engagements and influence platform adoption.
- 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, declare a technical specialization, mentor colleagues, and drive horizontal impact.
- Develop competitive strategies and lead competitive displacements and complex enterprise evaluations.
- 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-facing 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 including Spark or PySpark; candidates complete a live coding assessment and platform build.
- Deep expertise in enterprise data architecture, distributed systems at scale, streaming and 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 experience driving consumption growth, platform adoption, competitive displacements, and complex enterprise evaluations in large accounts.
- Ability to influence Directors, VPs, and C-level stakeholders and 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.
- Preferred qualifications include Databricks certifications, experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company, published thought leadership, and industry vertical expertise.
Benefits
- Comprehensive benefits and perks are offered, with region-specific details available from Databricks.
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.