Full-Time

Senior Software Engineer

Apps

Posted on 10/31/2025

Atlan

Atlan

501-1,000 employees

Unified data catalog and metadata platform

No salary listed

Remote in India

Remote

Category
Software Engineering (3)
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Requirements
  • Strong fluency in databases — comfortable writing SQL across multiple dialects, with a solid grasp of NoSQL concepts and how schemas evolve across systems.
  • A strong grasp of APIs and protocols — HTTP/REST fundamentals, authentication (OAuth2, API keys), pagination, and working with JSON/XML payloads; familiarity with GraphQL is a plus.
  • Solid programming skills — writing clean, maintainable scripts and modules, using async patterns where needed, and incorporating tests and logging into your work.
  • Good habits around testing, debugging, and observability — writing unit tests, using structured logs, and validating extraction logic in sandboxed environments.
  • Curiosity around AI tools — willing to leverage AI to accelerate coding, debugging, and documentation.
  • Collaborative mindset to work closely with product managers to clarify requirements and ensure metadata extraction aligns with product goals.
Responsibilities
  • Build metadata extraction apps for a wide range of databases, SaaS tools, and data systems using Atlan’s App Framework.
  • Work with product managers to refine requirements and define what metadata should be extracted and how it’s modeled.
  • Explore and connect to sources via APIs, SDKs, and database connectors.
  • Write clean, maintainable Python code, leveraging framework abstractions for publishing, lineage computation, and state diffing.
  • Test and validate extraction logic using sandboxes and mock environments.
  • Contribute to a culture of observability, logging, and structured debugging to ensure metadata flows are reliable.
  • Collaborate with the App Framework team to suggest improvements, spot abstraction gaps, and shape the developer experience.
Desired Qualifications

Atlan provides a unified data management platform that helps teams access, understand, and trust their data. It centers on a data catalog that organizes metadata and connects with many data tools to create a complete data stack, removing data silos and boosting collaboration. The platform automates metadata services and emphasizes collaboration, making it easier for data producers and consumers to work together. It likely uses a pay-as-you-go pricing model and is known for strong customer service. How it works: The platform sits between data sources and users. It inventories data assets, describes them with metadata, and activates that metadata to make data easier to find and use. It integrates with many data tools so people can search, understand lineage, and collaborate directly within the same platform. Its goal is to democratize data—giving teams across an organization simple access to trustworthy data for decision making.

Company Size

501-1,000

Company Stage

Series C

Total Funding

$201M

Headquarters

Singapore, Singapore

Founded

2019

Simplify Jobs

Simplify's Take

What believers are saying

  • Raised $105M Series C in May 2024, valuing at $750M.
  • Trusted by Cisco, Autodesk, Unilever for AI data governance.
  • BigID integration unifies structured, unstructured data cataloging.

What critics are saying

  • Collibra erodes share with 10x metadata volume in Fortune 500.
  • Snowflake native governance causes 20-40% churn in 12-18 months.
  • Economic downturn exhausts runway in 18 months without Series D.

What makes Atlan unique

  • Atlan pioneers active metadata as GitHub for data teams.
  • Metadata Lakehouse is Iceberg-native with AI-purpose-built analytics.
  • AI agents automate 80% of context layer from query history.

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Benefits

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

3%

1 year growth

3%

2 year growth

13%
PR Newswire
Mar 9th, 2026
BigID and Atlan launch first unified structured and unstructured data catalog for AI governance

BigID and Atlan have announced an enhanced integration delivering what they call the first unified solution for structured and unstructured data discovery, classification, lineage and cataloguing. The partnership aims to provide a governance foundation for organisations managing AI pipelines. The integration automatically classifies data across all types, embedding BigID's data security posture management risk signals directly into Atlan's data catalogue. This provides unified visibility for security and governance teams, with sensitive data context propagated across end-to-end data lineage. The solution addresses a gap as organisations lack visibility into unstructured and sensitive data feeding AI models. By aligning chief information security officers and chief data officers on a single platform, the integration aims to help enterprises accelerate AI initiatives whilst maintaining data governance and security controls.

Yahoo Finance
Nov 24th, 2025
Atlan Named a Leader in the 2025 Gartner(R) Magic Quadrant(TM) for Metadata Management Solutions

Atlan named a Leader in the 2025 Gartner(R) Magic Quadrant(TM) for Metadata Management Solutions. Atlan recognized for completeness of vision and ability to execute. SAN FRANCISCO, November 24, 2025-(BUSINESS WIRE)-Atlan, the active metadata platform for data and AI governance, today announced that it has been recognized as a Leader in the 2025 Gartner(R) Magic Quadrant(TM) for Metadata Management Solutions. This recognition follows Atlan's earlier placement as a Visionary in the 2025 Gartner Magic Quadrant for Data and Analytics Governance Platforms, which we believe underscores its expertise in powering the metadata foundation for enterprise AI. According to Gartner, "Production AI requires metadata management maturity." The 2025 report marks the return of the Metadata Management Magic Quadrant after a five-year pause, which for us reaffirms metadata as the single greatest determinant of AI success. Metadata as the Context Layer for AI To us, Atlan's position as a Leader reflects its role as the context layer for AI - a foundation for accuracy, trust, and explainability in production AI systems. Atlan's Metadata Lakehouse unifies technical, business, and operational metadata into a single, active layer that fuels AI use cases across discovery, governance, quality, and analytics. This architecture powers "talk-to-data" analytics, governance automation, and Atlan's Model Context Protocol (MCP) Server, which enriches AI models and agents with real-time context. Atlan's Approach: Active Metadata for the AI Era Atlan delivers the metadata intelligence layer that modern enterprises need for AI readiness. Key differentiators include: * Breadth of context for AI applications: A single metadata layer connecting structured and unstructured data, operational systems, and AI workloads. * Future-proof, open platform: APIs and an app framework that extend metadata intelligence into any data or AI use case, preventing vendor lock-in. * Adoption beyond technical teams: Conversational search, embedded interfaces, and context-rich data products drive enterprise-wide usage in weeks, not years. * Fast time to value: Automation-first workflows, DIY connectors, and advisory-led onboarding accelerate measurable business outcomes. "In our opinion, Atlan's recognition as a Leader validates what our customers are already experiencing every day," added Prukalpa Sankar, Co-Founder of Atlan. "Our Metadata Lakehouse isn't theory - it's working in production for enterprises modernizing for AI. To us, being named a Leader by Gartner is proof that the future of metadata, and accurate enterprise AI, is already here." Read the full 2025 Gartner Magic Quadrant for Metadata Management Solutions report at https://atlan.com/gartner-magic-quadrant-metadata-management-solutions-2025/

Cision
Sep 2nd, 2025
BigID Now Available in Atlan Marketplace as First DSPM Integration for Smarter Data Governance

"By integrating BigID's classification and policy enforcement with Atlan's active metadata platform, organizations gain the context and control they need to reduce risk, scale governance, and responsibly govern data powering AI and analytics."

株式会社PR TIMES
Oct 25th, 2024
Atlan raises $105M for metadata platform

Uniqorns, a major startup media outlet, reported on Singapore's startup funding in the first half of 2024. Atlan, a metadata platform for data teams, topped the list by raising $105 million from investors like GIC and Salesforce Ventures. Carro, an online used car marketplace, secured $55 million from HSBC, while k-ID, a digital platform security provider, raised $50.4 million. The report highlights active funding across diverse sectors in Singapore.

Business Wire
Aug 7th, 2024
Atlan Named a Leader in Enterprise Data Catalogs by Leading Global Market Research Firm

In a crowded, broadened market, Atlan believes it has been named a Leader by delivering "automated AI/ML metadata, genAI- assisted discovery, end-to-end lineage, real-time processing, and a Netflix-like personalized experience to all business and technical personas.

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