Full-Time Senior Data / Analytics Engineer

At Atlan, we help organisations transform data chaos into clarity and seamless collaboration. We empower ambitious teams across industries to unlock the full potential of their data. We're building the future of human–data interaction — where every person can confidently ask questions of their data and get accurate, trustworthy answers through natural language.

We partner with enterprise customers to improve the accuracy and reliability of AI-assisted data interactions, diving deep into their data infrastructure, analytics systems, and usage patterns.

What You’ll Do:

• Partner directly with enterprise customers to improve the accuracy of AI-powered data interactions.
• Lead technical workshops to uncover sources of error or inconsistency in data agent responses.
• Analyze, debug, and optimize integrations with modern data stacks (Snowflake, BigQuery, Databricks, etc.).
• Translate customer insights into scalable solutions and internal improvements to Atlan’s AI and data infrastructure.
• Collaborate with product and engineering teams to design experiments, test accuracy improvements.
• Develop playbooks and tools to make accuracy improvement repeatable and measurable across customers.
• Mentor junior engineers or data specialists as the team grows.

What You Bring:

• 6+ years of experience in software engineering, data engineering, or analytics infrastructure.
• Strong coding skills in Python, Go, or a similar modern language.
• Experience working directly with customers in a technical capacity.
• Solid understanding of SQL, metadata, and data quality concepts.
• Excellent communication skills.
• (Bonus) Familiarity with AI/LLM systems, retrieval-augmented generation (RAG), or natural language interfaces to data.
• (Bonus) Prior experience in a startup or high-growth environment.

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