Solutions Architect (Retail)

Location: Arkansas; Remote - Illinois; Remote - Ohio

Salary: $180,000–$247,500 USD annually

Company

Databricks is a Data and AI company providing a unified platform for data engineering, analytics, machine learning, applications, and agents.

What you will do

• Own end-to-end technical strategy for customer accounts from discovery through production deployment and consumption growth.
• Lead architecture discussions and design scalable, production-grade solutions spanning data engineering, ML/AI, streaming, and real-time analytics.
• Advise customer architects, engineering leads, and Directors while translating complex architectures into business value.
• Drive competitive technical wins through custom-built solutions and Databricks platform adoption.
• Develop a technical specialization and coordinate DSAs, SSAs, and partners to deliver complex solutions.
• Provide structured feedback on customer requirements and competitive gaps to influence product direction.

Requirements

• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
• Strong coding proficiency in Python and SQL, including live coding, debugging, and solution building.
• Deep expertise in distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
• Proficiency with the Databricks Platform or the ability to achieve proficiency rapidly, with a developing specialization in an area such as real-time/streaming, ML/AI, data governance, or migrations.
• Experience leading architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.
• Production deployment experience on AWS, Azure, or GCP, including infrastructure, security, and governance considerations.
• Track record of driving platform adoption and consumption growth within accounts.
• Excellent communication skills for technical and executive audiences.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.

Nice to have

• Databricks certifications in Data Engineer, ML, or Platform.
• Experience with Snowflake, AWS native services, or Azure Synapse.
• Background in a data/AI company or cloud provider.
• Industry expertise in Financial Services, Healthcare, Retail, Media, or related domains.

Culture & Benefits

• Comprehensive employee benefits and perks, with details varying by region.
• Inclusive workplace committed to equal employment opportunity and diversity.
• Compensation may also include an annual performance bonus, equity, and regional benefits.

Hiring process

• Recruiter screen, hiring manager screen, design and architecture interview, live coding assessment, Build, Demo, Pitch! presentation, and reference check.
• Access to export-controlled technology or source code may require a U.S. government license at the employer’s discretion.