A

Atlan

Unified data catalog and metadata platform

Senior Security Engineer - Corporate Security

Full-Time
No salary listed
Senior
Remote in India
Remote
CybersecuritySecurity Engineering & Architecture

About the job

Requirements
  • At least 5 years of hands-on security engineering experience in corporate or enterprise security, covering endpoint, network, SaaS, identity, or a combination.
  • Prior experience building or significantly maturing a corporate security program, including selecting tooling, defining architecture, and shipping controls.
  • Ability to write code regularly, prototype tools, write detections, build integrations, script APIs, and debug complex configuration issues.
  • Deep experience with macOS fleet security.
  • Hands-on experience deploying and operating endpoint detection and response or extended detection and response, mobile device management, zero-trust network access or zero-trust, and identity security solutions at scale.
  • Understanding of modern SaaS security challenges, including shadow IT, OAuth token sprawl, data exfiltration paths, SaaS-to-SaaS integrations, and cloud access security broker or SaaS security posture management tooling.
  • Ability to work independently with high autonomy, manage ambiguity, and make sound risk-based prioritization decisions without waiting for direction.
  • Ability to translate complex security topics into clear recommendations for engineering teams and business stakeholders.
  • Experience supporting ISO 27001, SOC 2, or equivalent compliance frameworks from the corporate security controls side.
Responsibilities
  • Own and drive Corporate Security at Atlan as the technical authority for protecting people, endpoints, networks, the SaaS ecosystem, and corporate data outside production infrastructure.
  • Design, build, and operate security controls for the corporate environment, including the macOS fleet, SaaS applications, corporate identities, email, endpoints, and network edge.
  • Evaluate, select, deploy, and operate the corporate security stack, including endpoint detection and response or extended detection and response, mobile device management, zero-trust network access, cloud access security broker or SaaS security posture management, email security, data loss prevention, and browser security.
  • Own vendor selection, proofs of concept, deployment, tuning, and lifecycle management for the corporate security stack.
  • Define and enforce security baselines, hardening standards, and configuration policies across corporate platforms.
  • Drive vulnerability management for corporate assets through patch orchestration, risk-based prioritization, exception tracking, and service-level agreement enforcement.
  • Build security automation and internal tooling, using large language models such as Claude and custom agents to accelerate security workflows.
  • Lead security reviews of new SaaS adoptions, corporate infrastructure changes, and IT projects.
  • Define safe operating practices for an environment where AI agents act autonomously across corporate systems.
  • Own the Corporate Security roadmap and align investments to the risk register, compliance calendar, and growth trajectory.
  • Provide technical direction and security guidance to IT Operations on endpoint provisioning, network design, SaaS lifecycle management, and access controls.
  • Partner with Detection and Response on telemetry coverage, detection engineering, and incident handling for corporate-sourced events.
  • Collaborate with Infrastructure Security and Application Security teams to keep standards consistent across corporate and production environments.
  • Support ISO 27001, ISO 42001, SOC 2, HIPAA, and GDPR compliance programs by ensuring corporate security controls satisfy audit evidence requirements.
  • Communicate security posture, risks, and investment needs to Security leadership and cross-functional stakeholders.
Desired Qualifications
  • Experience securing corporate environments at high-growth SaaS, AI, cloud, or developer-tools companies.
  • Advanced macOS security experience, including system extensions, the Endpoint Security framework, mobile device management profile engineering, and Declarative Device Management.
  • Network security architecture for distributed or remote-first environments, including software-defined wide area networking, zero-trust network access, DNS security, and network segmentation.
  • Experience with browser security and isolation technologies such as Island, Talon or Palo Alto, and Chrome Enterprise.
  • Proficiency in Python, Go, or similar languages for building security tooling and automation.
  • Experience leveraging large language models or artificial intelligence to augment security operations, build investigative tooling, or automate policy enforcement.
  • Familiarity with infrastructure as code using Terraform, continuous integration and continuous delivery pipelines, and DevSecOps practices as applied to corporate infrastructure.
  • Mobile security experience for iOS and Android in a bring-your-own-device environment.
  • Experience designing and implementing data loss prevention programs across endpoints, email, SaaS, and cloud storage.
  • Exposure to ISO 42001 artificial intelligence management system controls.

About the company

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

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Simplify Jobs

Simplify's Take

What believers are saying

  • Microsoft named Atlan a FabCon Europe 2026 launch partner, expanding enterprise distribution.
  • The September 29, 2026 Fabric-OneLake release rides Microsoft's accelerating Fabric adoption.
  • Atlan says customers report 5-10x accuracy and 75% lower token costs from context layers.

What critics are saying

  • Microsoft Fabric's OneLake Catalog already centralizes discovery, governance, and security inside Fabric.
  • Alation, Secoda, and OvalEdge compress Atlan's pricing power and enterprise shortlist position.
  • If Microsoft bundles context AI natively, Atlan's standalone layer loses relevance quickly.

What makes Atlan unique

  • Atlan's Iceberg-native Context Lakehouse stores governed metadata in customer-owned OneLake tables.
  • Its August 2026 Fabric connector v2.0 traces lineage from SQL sources to Power BI.
  • BigID integration unifies security signals with metadata across structured and unstructured data.

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Benefits

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

6%

2 year growth

15%
Yahoo Finance
Sep 29th, 2026
Atlan integrates Microsoft Fabric and OneLake to unify governed enterprise context across data ecosystems

Atlan has launched a generally available Microsoft Fabric connector and OneLake integration for its Context Lakehouse platform. The integration allows enterprises to maintain governed context — including metric definitions, ownership, lineage, quality, and policy — across Microsoft Fabric and external systems. The connector catalogues Fabric workspaces, lakehouses, warehouses, and other assets down to column level. It extracts end-to-end lineage across Fabric estates and beyond, enabling analysts to trace data origins and dependencies quickly. Atlan's Context Lakehouse stores enterprise metadata in Apache Iceberg format within customer-owned OneLake tables. This approach allows Fabric users and AI agents to query governance metadata directly without copying data to separate stores. The integration supports enterprises migrating to Fabric by providing lineage across legacy and new systems. Atlan is available in the Microsoft Marketplace and is Azure co-sell eligible.

CNBC
Apr 18th, 2026
Atlan's Sankar: 46% of AI pilots deliver zero ROI, context layer boosts accuracy 10x

Atlan co-CEO Prukalpa Sankar says 46% of enterprises report zero financial benefit from AI pilots, arguing that intelligence is commoditising whilst context remains the intellectual property. Her solution is a "context layer" — a living data graph capturing how businesses operate, combined with a context engineering studio that extracts tacit knowledge from employees. The approach aims to address the gap between smart AI and useful AI. Customers using Atlan's system report accuracy improvements of five to ten times and 75% lower token costs, according to Sankar. The company positions context as the key differentiator as AI intelligence becomes increasingly commoditised across the industry.

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/

PR Newswire
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."