28 days ago
Remote, India or Bengaluru, IndiaStaff+
Responsibilities
- Own the long-term architecture and technical direction for core data platform capabilities, including reliability, cost efficiency, and adoption.
- Design and build foundational platform components across ingestion, transformation, orchestration, compute, and data consumption.
- Establish multi-tenant platform standards, cross-layer contracts, tenant isolation, and SLOs while improving compute and storage efficiency.
- Lead cross-team technical initiatives and architecture reviews, influence platform strategy, and mentor senior engineers.
- Remain hands-on in code and solve the team’s most difficult technical problems.
- Partner with analytics teams, data engineers, and data scientists to identify platform gaps and build needed capabilities.
Requirements
- 12+ years of software or data engineering experience, including at least six years building data platform infrastructure.
- Experience building and operating a data platform or significant production component such as an ingestion, transformation, compute, query, orchestration, metadata, lineage, or data quality framework.
- Ability to explain the scale of operated systems using concrete metrics such as data volume, throughput, pipelines, query performance, tenants, and infrastructure cost.
- Deep understanding of distributed systems and big data challenges, including partitioning, shuffle behavior, skew, idempotency, and backfills.
- Experience designing batch and streaming architectures and selecting appropriately between them.
- Expert programming ability in Java, Kotlin, or Python and experience building solutions on public cloud offerings such as Amazon Web Services.
- Experience with Spark, DBT, and open table formats such as Iceberg or Delta Lake.
- Track record of owning ambiguous cross-team problems end to end and influencing without authority.
- Bachelor-level degree in Computer Science, Electrical Engineering, or a related STEM discipline, or equivalent practical experience.
- Preferred experience with StarRocks, Druid, ClickHouse, Pinot, change data capture, high-volume event-driven ingestion, semantic layers, metrics stores, ML platform data foundations, data governance, access control, lineage, compliance, FedRAMP, Kubernetes, and multi-region data architectures.
Benefits
- Flexible work arrangement allowing employees to work from an office, from home, or in a combination of the two; hiring is available in countries where Atlassian has a legal entity.
- Health and wellbeing resources, paid volunteer days, and additional benefits and perks.
- The role may be eligible for benefits, bonuses, commissions, and equity.
Tech Stack
Categories
Data Engineering
About Atlassian
Atlassian powers the collaboration that helps teams accomplish what would otherwise be impossible alone. From space missions and motor racing to bugs in code and IT requests, no task is too large or too small with the right team, the right tools, and the right practices. Over 300,000 global companies and 80% of the Fortune 500 rely on Atlassian’s software, like Jira, Confluence, Loom, and Trello, to help their teams work better together and deliver quality results on time. With our 300,000+ customers and team of 10,000+ Atlassians, we are building the next generation of team collaboration and productivity software. We believe the power of teams has the potential to change the world — one that is more open, authentic, and inclusive.