Solutions Architect - Strat Media
Databricks12 days 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 builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.