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The Role
Own the architecture, technical direction, reliability, cost efficiency, and adoption of Atlassian’s analytical data platform. Build foundational ingestion, transformation, orchestration, compute, and consumption components; establish multi-tenant standards and SLOs; and lead cross-team technical initiatives. The role requires hands-on development, distributed systems expertise, batch and streaming architecture design, cloud experience, and mentorship of senior engineers.
Summary Generated by Built In
Engineering | Remote, India | Remote, Remote | Bengaluru, India
Are you passionate about data platforms and tools? Are you an open-minded, structured thinker who is passionate about building systems at scale. Do you understand data platforms, know how to build them and want to help our users to make data actionable? If so, this role with our team at Atlassian is for you.We are looking for a Principal Software Engineer to join our Data Platform Team to build a world class data platform that powers crucial business decisions throughout the organization.You will partner with analytics teams, data engineers and data scientists across various initiatives and work with them to understand the gaps and bring your findings back to the team to build these capabilities.
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.
We build analytical data platforms for Atlassian that serve both Engineering and Data Engineering to help them generate valuable insights from data.
As a Principal Engineer on this team you will:
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Required
Nice to have
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit
Are you passionate about data platforms and tools? Are you an open-minded, structured thinker who is passionate about building systems at scale. Do you understand data platforms, know how to build them and want to help our users to make data actionable? If so, this role with our team at Atlassian is for you.We are looking for a Principal Software Engineer to join our Data Platform Team to build a world class data platform that powers crucial business decisions throughout the organization.You will partner with analytics teams, data engineers and data scientists across various initiatives and work with them to understand the gaps and bring your findings back to the team to build these capabilities.
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.
We build analytical data platforms for Atlassian that serve both Engineering and Data Engineering to help them generate valuable insights from data.
As a Principal Engineer on this team you will:
- Own the long term architecture and technical direction for core platform capabilities and be accountable for their reliability, cost efficiency and adoption
- Design and build foundational platform components that other engineering teams build on top of, across areas like ingestion, transformation, orchestration, compute and consumption
- Architect robust multi-tenant platform standards by establishing clear cross-layer contracts, tenant isolation, and SLOs to enable autonomous producers and consumers, while driving compute and storage efficiency across workloads
- Lead cross team technical initiatives and architecture reviews, influence platform strategy with senior stakeholders and act as a technical mentor and multiplier for Senior engineers
- Stay hands on. You will be in the code on the hardest problems, not just reviewing designs
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Required
- 12+ years of software or data engineering experience, with at least 6 years building data platform infrastructure
- You have built a data platform or a significant component of one and operated it in production. For example an ingestion framework, a transformation framework, a compute or query layer, an orchestration layer, a metadata or lineage service or a data quality framework
- You can describe the scale that component ran at in concrete numbers. Data volume, ingest throughput, number of pipelines or jobs, query concurrency and latency, number of onboarded teams or tenants and infrastructure cost.
- Deep understanding of big data and distributed systems challenges including partitioning, shuffle behaviour, skew, idempotency and backfills
- Experience designing both batch and streaming architectures and clear judgement on when each is the right answer
- Expert level programming skills in language such as Java, Kotlin or Python and built solutions on public cloud offerings such as Amazon Web Services
- Experience with big data processing and storage technologies such as Spark, DBT and with open table formats such as Iceberg or Delta Lake
- A track record of owning ambiguous cross team problems end to end and of influencing without authority
- Degree in Computer Science, EE or a related STEM discipline or equivalent practical experience
Nice to have
- Experience with high performance analytical or MPP databases such as StarRocks, Druid, ClickHouse or Pinot
- Experience with change data capture and event driven ingestion at high volume
- Experience building a semantic layer or metrics store and governing shared metric definitions
- Experience with the data foundations of ML platforms, such as point-in-time correct training data, online and offline feature parity or backfilling features at scale
- Experience with data governance, access control, lineage and compliance, including regulated environments such as FedRAMP
- Experience running platform components on Kubernetes
- Experience with multi region data architectures, including replication, failover and consistency tradeoffs
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit
Skills Required
- 12+ years of software or data engineering experience
- At least 6 years building data platform infrastructure
- Experience building and operating a data platform or significant platform component in production
- Ability to describe production scale using concrete metrics such as data volume, throughput, pipelines, concurrency, latency, tenants, and infrastructure cost
- Deep understanding of big data and distributed systems, including partitioning, shuffle behavior, skew, idempotency, and backfills
- Experience designing batch and streaming architectures and selecting appropriately between them
- Expert programming skills in Java, Kotlin, Python, or similar languages
- Experience building solutions on public cloud platforms such as Amazon Web Services
- Experience with big data processing and storage technologies such as Spark and dbt
- Experience with open table formats such as Iceberg or Delta Lake
- Track record of owning ambiguous cross-team problems end to end and influencing without authority
- Degree in Computer Science, Electrical Engineering, or related STEM discipline, or equivalent practical experience
- Experience with high-performance analytical or MPP databases such as StarRocks, Druid, ClickHouse, or Pinot
- Experience with change data capture and high-volume event-driven ingestion
- Experience building a semantic layer or metrics store and governing shared metric definitions
- Experience with data foundations of machine learning platforms, including point-in-time-correct training data, online/offline feature parity, or large-scale feature backfills
- Experience with data governance, access control, lineage, compliance, or regulated environments such as FedRAMP
- Experience running platform components on Kubernetes
- Experience with multi-region data architectures, replication, failover, and consistency tradeoffs
What the Team is Saying
Tiffany
Engineering Senior Associate, United States
Gautam
Software Engineer, United States
Tygrr
Product Manager, United States
Ashleigh
Frontend Engineer, United States
Jensen
Senior Frontend Software Engineer, United States
Javier
Senior Solutions Engineer, United States
Atlassian Compensation & Benefits Highlights
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Parental & Family Support — Parental leave spans 26 weeks for birthing parents and 20 weeks for non-birthing parents, alongside inclusive family-formation benefits such as fertility treatment, adoption, and surrogacy. Additional supports include menopause resources and caregiving-related programs.
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Retirement Support — Retirement programs include a U.S. 401(k) company match with immediate vesting and multiple contribution options. These are complemented by other financial wellbeing tools like HSAs/FSAs.
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Healthcare Strength — Medical coverage is paired with mental-health resources, disability and life insurance, and options such as HSA/FSA. Descriptions also point to solid plan choices with access to counseling, coaching, and 24/7 support.
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The Company
What We Do
Atlassian creates teamwork solutions for high-performing teams. Our portfolio of collaboration and work management software products includes Jira, Confluence, Trello, Loom and Rovo. More than 300,000 businesses worldwide rely on Atlassian’s technology, including 80 percent of Fortune 500 companies. Our solutions support various business teams and they help organizations plan, track, and deliver their biggest ideas together.
Why Work With Us
At Atlassian, we believe we can accomplish so much more together than apart — which is why everything from our tooling — to our distributed workforce — to how our teams are structured is rooted in collaboration. Come join us and help unleash the potential of every team.
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