[Hiring] Solution Architect @Altimate.ai

Role Description

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.

• Lead Technical Engagements: Deliver compelling technical demos and architecture discussions showcasing the value of Databricks-based solutions.
• Drive Proof-of-Concepts to Success: Design and execute POCs on Databricks, demonstrating clear technical and business value.
• Architect Modern Data Solutions: Guide customers in building scalable pipelines using Databricks, Spark, Delta Lake, and lakehouse best practices.
• Own Customer Onboarding and Adoption: Partner closely with customers to ensure smooth implementation, strong adoption, and fast time-to-value.
• Act as a Trusted Technical Advisor: Support customers in optimizing their data platform, identifying expansion opportunities, and driving deeper usage.
• Influence Product and Strategy: Translate customer feedback and ecosystem trends into product improvements and technical direction.

Qualifications

• 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.
• Experience with dbt is a strong plus.
• 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.
• Experience working in early-stage or high-growth companies is highly valued.

Company Description

Altimate AI is at the forefront of the AI-driven data revolution, tackling one of the biggest pain points in modern enterprise analytics—an overwhelming volume of data and a shortage of skilled data professionals to manage it.

• Automate and accelerate data operations so data teams can work smarter, not harder.
• Leading the charge in “agentic AI” with our flagship product, DataPilot, and pioneering DataMates technology.
• Creating an ecosystem of continuous monitoring, optimization, and streamlined data operations.
• Backed by top-tier investors and guided by Silicon Valley veterans.