--- title: 'Solution Architect at Altimate.ai' canonical: 'https://feeny.ai/job/solution-architect-altimate-ai-asia-4rr9m0x2qmtb' type: 'job' last_seen: '2026-10-16' --- # Solution Architect at Altimate.ai - **Company:** Altimate.ai - **Location:** Asia - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-10-15 - **Last confirmed live:** 2026-10-16 - **Apply:** https://jobs.ashbyhq.com/altimate/4b91810a-5b64-43bc-9918-837a92db5206 ## 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—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. ## 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. Ready to Join Us? If you're passionate about Databricks, modern data platforms, and helping customers unlock real value from their data, we’d love to talk. Join Altimate AI and help shape the future of AI-powered data operations. ## About Altimate.ai ## Company Overview - **One-liner**: Altimate.ai builds an agentic data engineering platform that provides AI-powered agents for data governance, pipeline management, workload migration, and infrastructure optimization, integrated directly into data teams' daily tools. - **Entity Type**: Private (Pre-Seed/Seed stage) - **Headquarters**: Sunnyvale, California, United States - **Founded**: May 2022 - **Founders**: Anand Gupta, Pradnesh Patil ## Core Business - **Primary industry/industries**: Artificial Intelligence, Data Engineering, Analytics, Big Data - **Target customers**: B2B, Enterprise data teams, data engineers, analytics engineers - **Mission or purpose statement**: To build the #1 agentic data platform that enables fully autonomous, trustworthy data engineering in production — helping companies achieve a "perfect data world" where governance, quality, and efficiency are guaranteed. ## Products & Services - **DataPilot**: An AI teammate for data teams, consisting of a collection of AI agents natively integrated into IDE (VS Code), Git, CI/CD, and Slack. Automates data documentation, data quality tests, data contracts, query explanations, and incident assistance — all PII-free. - **dbt Power User (VS Code Extension)**: Enhances dbt model development and testing with automatic documentation, query result analysis, and best practices embedded directly in the developer workflow. - **Query Insights**: Provides automated insights and recommendations for SQL queries to improve efficiency and reduce costs. - **Workload Migration**: Automates migration of Informatica, SSIS, or legacy SQL to dbt, preserving business logic and contracts. - **Workload Optimization**: Auto-tunes warehouses and optimizes queries across Snowflake, BigQuery, and Databricks autonomously. - **Data App Builder**: Generates full-stack data applications — APIs, dashboards, and pipelines — from a plain-language spec. - **Infrastructure Management**: Monitors warehouse health, traces incidents to root cause, and routes fixes autonomously. - **Altimate Code (Open Source CLI)**: An open-source agentic harness for data engineering tasks, enabling teams to ship agentic data pipelines without vendor lock-in. 10M free tokens available. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company) - **Key Metric**: Total Funding — Undisclosed amounts raised in Pre-Seed round (Sept 2024, led by Surface Ventures and JC2 Ventures) and Seed round (April 2025). Employee headcount of **42** (+150% YoY growth). - **Notable Investors/Partners**: Surface Ventures, JC2 Ventures - **Growth Signals**: - 150% headcount growth year-over-year (from ~12 to 42 employees) - 78.0% pass rate (32/41 tasks on DuckDB) on DeepSeek V4 Pro (ADE-Bench) - Used by hundreds of companies worldwide (thousands including open-source/VS Code users) - Active in 5 countries: US, India, UAE, China, Bangladesh - 8 active job postings as of mid-2025 - LinkedIn followers: 4,040 (+54.7% yearly growth) ## Competitive Advantages - **Tech Stack Agnostic**: Agents work across Snowflake, BigQuery, Databricks, and any cloud provider — avoiding vendor lock-in. - **Deep Integration**: Embedded directly into the tools data engineers already use daily (VS Code, Git, Slack, CI/CD), minimizing workflow disruption. - **Token-Efficient Design**: Built to minimize token consumption while maximizing impact, making it cost-effective for enterprise scale. - **Enterprise-Grade Governance**: SOC 2 compliance, column-level lineage, PII classification, ownership mapping, and audit trails built in. - **Open Source + Platform Model**: Open-source CLI for flexibility and community adoption, with a paid platform for advanced enterprise features. - **Strong Benchmark Performance**: 78% pass rate on DeepSeek V4 Pro for data engineering tasks. ## Strategic Focus - **Current priorities**: Scaling the platform to fully autonomous data engineering; expanding enterprise adoption; deepening capabilities in governance, migration, and optimization; growing the open-source community around Altimate Code. - **Direction for growth**: Becoming the go-to agentic layer for data teams across all major cloud warehouses, with a focus on trust, governance, and production reliability. ## Why Work Here - **Culture highlights**: Fast-growing startup with a strong engineering-first culture; emphasis on building AI agents that data teams can trust in production; collaborative and remote-friendly environment. - **Remote/hybrid/office policy**: Hybrid/In-Office model with physical offices in Sunnyvale, CA (HQ) and Bangalore, India. Some roles may be remote-friendly. - **Notable perks or engineering culture**: - Open-source ethos (Altimate Code) - Cutting-edge AI/LLM work applied to real-world data engineering problems - High-impact, autonomous workflows that save teams "days of effort every week" - Strong talent pool from companies like Databricks, Snowflake, kipi.ai, Metaplane, and Acceldata - 42-person team with rapid growth trajectory, offering significant ownership and impact - **Active roles**: Product Manager, Staff Product Manager, Staff Backend Engineer, Product Engineer, Senior Software Engineer, Senior Machine Learning Engineer, Technical Lead, Technical Content Creator ## Sources 1. [Altimate.ai Official Site](https://altimate.ai/) 2. [Altimate.ai Careers Page](https://jobs.ashbyhq.com/altimate) 3. [Altimate AI LinkedIn](https://www.linkedin.com/company/altimate-ai) 4. [Built In - Altimate AI Careers](https://builtin.com/company/altimate-ai) 5. 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