28 days ago
Remote, India or Bengaluru, IndiaStaff+
Responsibilities
- Own the technical evolution of Atlassian’s data engineering capabilities and ensure solutions are delivered incrementally while meeting outcomes.
- Establish technical direction and coordinate data engineering work across teams while improving engineering productivity.
- Maintain high standards for operational data quality and address performance, scale, complexity, and security concerns.
- Architect solutions, drive complex technical decisions, and balance customer and business needs with long-term maintainability.
- Coordinate and unblock engineers implementing complex data solutions.
- Lead, mentor, and coach data engineers while partnering with the engineering manager on team growth.
- Collaborate with cross-functional counterparts and help build a strong engineering culture.
Requirements
- 12+ years of experience as an individual-contributor Data Engineer.
- At least 2 years of experience as a technical lead for a Data Engineering team.
- Track record of driving and delivering large, complex, multi-person or multi-team engineering efforts.
- Strong communication skills and experience maintaining cross-team and cross-functional relationships.
- Experience building streaming pipelines with microservices architecture for low-latency analytics.
- Experience with data infrastructure including relational databases, SQL, Spark, and column stores such as Redshift.
- Experience building scalable Spark data pipelines using Airflow or similar scheduling tools.
- Experience with AWS data services such as Redshift, Athena, and EMR, or Apache technologies such as Spark, Flink, Hive, and Kafka.
- Understanding of data engineering tools, frameworks, and standards that improve team productivity and output quality.
- Industry experience with large-scale, high-performance batch and streaming data processing systems.
- Preferred experience designing Kappa or Lambda architecture data platforms and services.
- Preferred experience implementing Master Data Management solutions.
- Preferred experience building Databricks pipelines and working with Databricks APIs.
Benefits
- Atlassian offers health and wellbeing resources and paid volunteer days.
- The role may be eligible for benefits, bonuses, commissions, and equity.
- Atlassians can work from an office, from home, or in a combination of both.
- Atlassian can hire people in any country where it has a legal entity.
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.