Databricks
Senior Solutions Architect - Retail, Consumer Goods, Travel & Hospitality
$219K–$301K
Atlanta, Georgia +3 · Remote · Senior · Full-time · Posted Oct 6, 2026
- Location
- Atlanta, Georgia
Charlotte, North Carolina
Southeast - United States
Remote - California - Experience
- 8+ years; listed alternatives are solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
- Education
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued.
About the job
Leads complex customer engagements as a technical authority, shaping Databricks adoption and consumption strategy, enterprise data and AI architecture, and executive relationships.
What you'll do
- Drive technical and consumption strategy for complex customer engagements and advise executives on enterprise data and AI strategy.
- Lead architecture engagements, competitive evaluations, and cross-functional delivery; mentor junior solutions architects.
- Create customer-facing thought leadership through content, workshops, and community engagement.
What they ask for
- 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
- Expert coding proficiency in Python and SQL; ideally Spark/PySpark.
- Deep expertise in enterprise data architecture and expert-level Databricks Platform knowledge, or equivalent depth in competing platforms with demonstrated rapid learning ability.
- Proven record of driving consumption growth and platform adoption in large accounts, with executive influence and experience leading competitive displacements.
Nice to have
- Databricks certifications; prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company.
- Published thought leadership or industry vertical expertise with executive-level domain credibility.
Pay
$219,100 — $301,300 USD (salary range for non-commissionable roles or on-target earnings for commissionable roles; role classification not specified)
Tools
Python, SQL, Spark/PySpark, Databricks Platform
AI focus
Advises on enterprise data and AI strategy and leads architecture engagements involving AI/ML at scale; technical specializations may include ML/AI platforms.
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