Databricks Solution Architect
RemoteUnited States or Canada
Job Summary
Design scalable Databricks solution architectures, including Lakehouse, Delta Lake, and Unity Catalog patterns, tailored to each customer's environment and business goals. Lead technical discovery workshops to understand customer objectives, build working prototypes and proofs-of-concept, and guide clients on best practices for data pipelines and platform governance. Advise on integrating Databricks with hyperscaler environments and demonstrate capabilities across Data Engineering, Data Science, ML, and Generative AI use cases. Partner with account teams throughout the sales process to shape winning technical strategies and mitigate delivery risks early. Translate complex technical concepts into clear business value for executive and technical stakeholders. Serve as a resident Databricks expert by sharing knowledge, contributing reusable accelerators, and representing BIG at customer events and partner activities. Travel up to 15% for client meetings.
Required Qualifications
- 3+ years of hands-on experience with Databricks and/or Snowflake in a technical capacity
- 5+ years in customer-facing technical roles — solutions architecture, technical consulting, or sales engineering
- Experience designing, presenting, and delivering production data architectures for enterprise customers – including Lakehouse, Delta Lake, and Unity Catalog Patterns – on AWS, Azure, and/or GCP
- Databricks Professional-level certification (e.g., Data Engineer Professional, Machine Learning Professional)
- Strong expertise in at least one core data domain: big data engineering (Spark, Kafka), Data Warehousing & ETL, or Data Science & ML
- Fluency in Python and SQL
- Exceptional verbal and written communication and presentation skills - able to engage in and lead business-level meetings with technical and non-technical Client and internal team members
- Ability to translate complex topics into clear business value and earn buy-in from engineers and executives
- Travel up to 15% for customer meetings and partner collaboration
Desired Qualifications
- Scala, Java, or R
- A degree in Computer Science, Applied Mathematics, Operations Research, or a related quantitative field
- Experience with adjacent technologies such as dbt, Fivetran, Airflow, or Delta Sharing
- Familiarity with AI/GenAI frameworks and LLM application patterns
- Databricks GenAI Engineer Associate certification
- Exposure to enterprise engagement cycles and how technical decisions shape deal outcomes
- Experience with Frontier LLMs such as Claude code for SDLC acceleration
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