Altimate Solution Architect at Altimate AI serving as the link between customers and engineering to translate data challenges into scalable solutions. Shapes product direction and ensures customer success with AI-driven data operations.
Responsibilities
As a Solution Architect, you'll serve as the critical link between our customers and engineering team, partnering with technical stakeholders, product teams, and a global user community to deeply understand their data challenges and translate them into scalable, high-impact solutions - playing a pivotal role in shaping our product direction and ensuring lasting customer success.
What Makes This Opportunity Special
Work at the Frontier of AI + Lakehouse
Partner with customers using Databricks to build intelligent data platforms powered by AI agents, contextual knowledge graphs, and modern data pipelines.
Shape the Future of Enterprise Data
Help define how GenAI integrates with Databricks, lakehouse architecture, and enterprise data workflows—not just implementing solutions, but shaping the category.
Accelerated Career Growth
Join as an early member of the GTM team with the opportunity to influence architecture standards, customer strategy, and grow into leadership roles as we scale.
Deep Ownership and Impact
Your work will directly influence product capabilities, customer success, GTM strategy, and long-term technical direction.
Lead Technical Engagements
Deliver compelling technical demos and architecture discussions showcasing the value of Databricks-based solutions.
Qualification
Databricks and Data Platform ExpertStrong Databricks ExpertiseHands-on experience with DatabricksModern Data Stack ExperienceStrong working knowledge of SQLExperience with dbt is a strong plusCustomer-First CommunicatorProactiveBonus
Required
Databricks and Data Platform Expert
6+ years in a customer-facing technical role such as Solution Architect, Data Engineer, Consultant, or Professional Services Engineer within the data ecosystem.
Strong Databricks Expertise
Hands-on experience with Databricks, Apache Spark, Delta Lake, and modern lakehouse architecture.
Modern Data Stack Experience
Strong working knowledge of SQL, data modeling, ETL/ELT pipelines, and cloud data platforms.
Experience with dbt is a strong plus.
Customer-First Communicator
Able to translate complex architectures into clear, impactful narratives for technical and business audiences.
Proactive, ownership-driven, and comfortable working in fast-moving startup environments.
Bonus: Startup or High-Growth Experience
Experience working in early-stage or high-growth companies is highly valued.
