Solutions Architect (Adtech)

Location: United States

Company

Databricks is a data and AI company providing a unified platform for data engineering, machine learning, analytics, agents, and lakehouse workloads. More than 20,000 organizations use its platform, and the company is headquartered in San Francisco with more than 30 offices worldwide.

What you will do

• Own end-to-end technical strategy for customer accounts from discovery through production deployment and consumption growth.
• Lead complex architecture discussions and design scalable, production-grade solutions across data engineering, ML/AI, streaming, and real-time analytics.
• Advise customer architects, engineering leads, and Directors on technical decisions and translate complex architectures into business value.
• Drive competitive technical wins through custom-built solutions and Databricks platform differentiation.
• Develop a technical specialization and become a go-to resource in an area such as real-time and streaming, ML/AI, data governance, or migrations.
• Coordinate DSAs, SSAs, and partners while providing structured feedback on customer requirements and competitive gaps.

Requirements

• 6+ years of experience 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 architecture, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
• Proficiency with the Databricks Platform or demonstrated ability to become proficient rapidly, plus a developing technical specialization in one area.
• Experience leading architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.
• Experience with production deployments 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 explaining complex architectures to 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 another relevant domain.

Culture & Benefits

• Comprehensive benefits and perks, with details varying by region.
• Commitment to a diverse and inclusive workplace and equal employment opportunity.
• Global company presence with more than 30 offices worldwide.

Hiring process

• Recruiter screen followed by a hiring manager screen.
• Design and architecture interview, live coding assessment, and Build, Demo, Pitch presentation.
• Reference check.