Overview
As a Solution Architect, you will be the critical link between customers and the engineering team, helping customers build AI-powered data platforms on Databricks and shaping Altimate AI's product direction.
What you'll do
- Deliver compelling technical demos and architecture discussions showcasing the value of Databricks-based solutions.
- Design and execute proof-of-concepts on Databricks, demonstrating clear technical and business value.
- Guide customers in building scalable pipelines using Databricks, Spark, Delta Lake, and lakehouse best practices.
- Partner closely with customers to ensure smooth implementation, strong adoption, and fast time-to-value.
- Support customers in optimizing their data platform, identifying expansion opportunities, and driving deeper usage as a trusted technical advisor.
- Translate customer feedback and ecosystem trends into product improvements and technical direction.
What you'll need
- 6+ years in a customer-facing technical role such as Solution Architect, Data Engineer, Consultant, or Professional Services Engineer within the data ecosystem.
- Hands-on experience with Databricks, Apache Spark, Delta Lake, and modern lakehouse architecture.
- Strong working knowledge of SQL, data modeling, ETL/ELT pipelines, and cloud data platforms.
- Able to translate complex architectures into clear, impactful narratives for technical and business audiences.
- Proactive, ownership-driven builder mindset, comfortable working in fast-moving startup environments.
Nice to have
- Experience with dbt.
- Experience working in early-stage or high-growth companies.
Details
Read the full description and apply on the company’s own careers page.