Altimate.ai-posted 4 months ago
Full-time • Senior
Sunnyvale, CA
1-10 employees

Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization. By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors, we're positioned at the forefront of the AI-powered data engineering revolution.

  • Building highly performant large scale data infrastructure that can scale to 100K+ jobs and handle PB scale data per day.
  • Design and implement robust, scalable data infrastructure on AWS, utilizing Kubernetes and Airflow for efficient resource management and deployment.
  • Design and develop a comprehensive SQL intelligence system encompassing query optimization, dynamic pipeline generation, and data lineage tracking.
  • Leverage expertise in SQL query profiling, AST analysis, and parsing to create a sophisticated engine focused on query performance improvements, building adaptive data pipelines, and implementing granular column-level lineage.
  • 8+ years of experience in data engineering, with a focus on building scalable data pipelines and systems.
  • Strong proficiency in Python and SQL.
  • Extensive experience with SQL query profiling, optimization, and performance tuning, preferably with Snowflake.
  • Deep understanding of SQL Abstract Syntax Tree (AST) and experience working with SQL parsers (e.g., sqlglot) for generating column-level lineage and dynamic ETLs.
  • Experience in building data pipelines using Airflow or dbt.
  • Solid understanding of cloud platforms, particularly AWS.
  • Familiarity with Kubernetes (K8s) for containerized deployments.
  • Competitive salary and equity.
  • Extensive professional development opportunities and resources for continuous learning.
  • Dynamic and intellectually stimulating work environment with a team of talented engineers.
  • Opportunities to shape the direction of the company and leave a lasting impact.
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