Databricks
Solutions Architect - Retail, Consumer Goods, Travel & Hospitality
$180K–$248K
Central - United States +4 · Remote · Full-time · Posted Oct 6, 2026
- Location
- Central - United States
Northeast - United States
Remote - New York
Southeast - United States
Remote - Michigan - Experience
- 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
- Education
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience).
About the job
Leads customer technical strategy and architecture to drive Databricks adoption, production deployments, and data and AI platform growth.
What you'll do
- Own account technical strategy from discovery through production deployment and consumption growth; lead architecture design for data engineering, ML/AI, and real-time analytics.
- Advise senior customer technical stakeholders, demonstrate Databricks in competitive scenarios, and coordinate internal and partner resources.
- Develop a technical specialization, share customer feedback to influence product direction, and drive platform adoption.
What they ask for
- Strong Python and SQL coding proficiency, including live coding, debugging, and solution building.
- Deep expertise in distributed data systems, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
- Experience deploying production workloads on AWS, Azure, or GCP, including infrastructure, security, and governance; proficiency in Databricks or ability to achieve it rapidly.
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience).
Nice to have
- Databricks certifications (Data Engineer, ML, Platform).
- Experience with competitive platforms such as Snowflake, AWS native services, or Azure Synapse; industry domain expertise is also noted.
Pay
$180,000 — $247,500 USD (salary range or on-target earnings; role type not specified).
Tools
Python, SQL, Databricks Platform, AWS, Azure, GCP, Snowflake, Azure Synapse
AI focus
Designs solutions spanning ML/AI and supports customers’ data and AI strategies; may specialize in ML/AI.
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