Solution Architect

Altimate; Asia; On-site; PEN 140,000 - 190,000; Full time

Job summary

Altimate AI is seeking a Solution Architect to connect customers with our Databricks-based data platform, shaping product direction and driving customer success at scale.

You will lead technical engagements, design modern data solutions with Spark, Delta Lake, and lakehouse patterns, and guide onboarding while translating complex architectures for technical and business audiences.

Qualifications

• 6+ years in a customer-facing technical role (Solution Architect, Data Engineer, Consultant or PS Engineer).
• Hands-on Databricks, Spark, Delta Lake and lakehouse architecture.
• Strong SQL, data modeling, ETL/ELT, and cloud data platforms.
• Experience with dbt is a strong plus.
• Excellent communication translating architectures for technical and business audiences.

Responsibilities

• Lead Technical Engagements with compelling demos and architecture discussions.
• Drive Proof-of-Concepts to success on Databricks.
• Architect modern data solutions using Spark, Delta Lake, and lakehouse best practices.
• Own customer onboarding and adoption, ensuring fast time-to-value.
• Act as a trusted technical advisor and identify expansion opportunities.
• Influence product direction by translating customer feedback into improvements.

Skills

Databricks expert

Spark & Delta Lake

Modern data stack

dbt experience

Customer-focused

Startup experience

Job description

WHY JOIN US

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. Our mission: Automate and accelerate data operations so data teams can work smarter, not harder. With our flagship product, DataPilot, and our pioneering DataMates technology, we’re leading the charge in “agentic AI.” Think of this as virtual teammates embedded inside popular workflows—like the VSCode extension loved by thousands across 50+ countries—taking care of everything from data documentation to performance optimization. Users rave about how it’s “an essential tool” and “game-changing for their data workflows.” This extension is just the tip of the iceberg, a tangible example of how we integrate seamlessly into tools teams already use. Our broader suite of solutions covers a range of enterprise data needs, creating an ecosystem of continuous monitoring, optimization, and streamlined data operations. Backed by top-tier investors and guided by Silicon Valley veterans who’ve scaled companies from startup to IPO, we have the vision, resources, and momentum to reshape how data teams operate.

Your Impact 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—

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.

What You’ll Do

• 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.

Who You Are

• 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.
• Builder Mindset 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.