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Senior Principle Engineer - Analytics Platform

Atlassian · Remote - India - Remote, Bengaluru - India - Bengaluru, 560071 India · India

Employer
Atlassian
Requisition id
27079
First posted (employer ATS)
(6d ago)
First seen by this site
2026-10-01T00:46:34Z
Last verified live
2026-10-06T01:17:51Z
Source
Employer career portal (atlassian)

Job description

Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Your future team The Analytics Platform (AP) powers data experiences embedded across Atlassian products, from product reporting and dashboarding to reusable charts, filters, and insights. Our mission is to make it easy for product teams to build trustworthy, intuitive analytics experiences without each team having to reinvent charting, dashboard infrastructure, data interaction patterns, or operational foundations. AP provides the shared canvas, components, APIs, and developer platform that turn governed data into customer value. As a Senior Principal Engineer, you will set the technical direction for AP: a highly reusable visualisation platform that serves both product teams building embedded experiences and customers making decisions through data. You will work closely with Analytics Platform to ensure the journey from data to insight is fast, reliable, secure, and coherent. What you’ll do Define and lead the multi-year technical strategy for a shared analytics platform used across Atlassian products. Evolve AP’s core capabilities: charting libraries, dashboard canvas and editing experiences, global filters, templates, permissions, data interaction patterns, and embedding APIs. Establish a durable developer-platform model so product teams can integrate AP quickly while retaining the flexibility they need for domain-specific data, configuration, and experiences. Partner with other data teams, product, design, and AI teams to create a consistent path from governed data and semantic definitions to useful visual and AI-assisted insights. Lead architectural decisions across frontend performance, query experience, data contracts, visualisation rendering, accessibility, and multi-product extensibility. Simplify fragmented reporting and dashboard solutions, creating clear migration paths toward a consistent, modern analytics experience. Set a high bar for customer trust: chart correctness, filtering accuracy, data freshness, query latency, availability, security, and observability. Make hard trade-offs between a globally consistent platform and product-specific flexibility—and make those trade-offs legible to senior leaders. Influence architecture and execution across several teams; mentor senior technical leaders and raise the engineering bar across AVP. What we’re looking for Deep experience building customer-facing platform products, preferably in analytics, visualisation, reporting, workflow, or developer-platform domains. Strong technical judgement across modern frontend architecture, APIs, distributed systems, data products, and platform extensibility. A demonstrated ability to turn reusable primitives into a platform that multiple product teams can successfully adopt. Experience designing interactive, high-scale data experiences where performance, correctness, accessibility, and trust are essential. Strong product instincts: you understand that a chart library or API is only successful when it lets customers accomplish meaningful work simply and confidently. Track record of leading complex, multi-team technical strategy and delivering large-scale migrations or platform consolidation. Experience partnering closely with product design and product management while maintaining a high engineering and operational bar. Excellent written and verbal communication; able to bring clarity to ambiguous, cross-functional decisions. A hands-on engineering mindset and a strong record of developing other technical leaders. Helpful experience Embedded analytics, dashboard builders, data visualisation libraries, or no-code/low-code product capabilities. Multi-tenant SaaS platforms, design systems, accessibility, and internationalisation. Data governance, s

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