Solutions Architect - Strat Media
Databricks3 hours ago
Base Salary
$180k - $248k/yr
Responsibilities
- 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, and real-time analytics.
- Advise customer architects, engineering leads, and Directors on technical strategy and trade-offs.
- Demonstrate Databricks differentiation through custom-built solutions in competitive scenarios.
- Develop a technical specialization and serve as a go-to resource within the team.
- Coordinate DSAs, SSAs, and partners to deliver comprehensive customer solutions.
- Provide structured customer and competitive feedback to influence product direction.
Requirements
- 6+ years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
- Strong 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 become proficient rapidly, with a developing specialization in areas such as real-time/streaming, ML/AI, data governance, or migrations.
- Experience leading architecture discussions, whiteboarding sessions, design reviews, and trade-off analyses with senior technical stakeholders.
- Production deployment experience on AWS, Azure, or GCP, including infrastructure, security, and governance considerations.
- Demonstrated success driving platform adoption and consumption growth within customer accounts.
- Excellent communication skills for translating complex architectures into business value for technical and executive audiences.
- Databricks certifications in Data Engineer, ML, or Platform are preferred.
- Experience with Snowflake, AWS native services, or Azure Synapse is preferred.
- Experience in a data/AI company or cloud provider and industry domain expertise are preferred.
Benefits
- Comprehensive benefits and perks are offered, with details varying by region.
- The role requires travel to customers approximately 30% of the time.
- The interview process includes recruiter screening, hiring manager screening, design and architecture interviewing, live coding assessment, build/demo/pitch presentation, and reference check.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).