Principal Data Engineer

Posted An Hour Ago
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Hiring Remotely in 560071, Domlur, Karnataka, IND
In-Office or Remote
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Atlassian provides tools to help every team unleash their full potential.
The Role
Lead the technical evolution of Atlassian’s data engineering capabilities by architecting scalable batch and streaming data solutions. Direct complex engineering efforts, improve data quality and productivity, establish technical direction, and coordinate implementation across teams. Mentor and coach data engineers while partnering cross-functionally to support data-driven business decisions and long-term platform scalability.
Summary Generated by Built In
Analytics & Data Science | Bengaluru, India | Remote, Remote
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.
Atlassian is looking for a Principal Data Engineer to join our Data Engineering Team and play a tech lead & architect role to build world-class data solutions and applications that power crucial business decisions throughout the organization. We are looking for an open-minded, structured thinker who is passionate about building systems at scale. You will enable a world-class engineering practice, drive the approach with which we use data, develop backend systems and data models to serve the needs of insights and play an active role in building Atlassian's data-driven culture.
  • Own the technical evolution of the data engineering capabilities and be responsible for ensuring solutions are being delivered incrementally, meeting outcomes, and promptly escalating risks and issues
  • Establish a deep understanding of how things work in data engineering, use this to direct and coordinate the technical aspects of work across data engineering, and systematically improve productivity across the teams.
  • Maintain a high bar for operational data quality and proactively address performance, scale, complexity and security considerations.
  • Drive complex decisions that can impact the work in data engineering. Set the technical direction and balance customer and business needs with long-term maintainability & scale.
  • Understand and define the problem space, and architect solutions. Coordinate a team of engineers towards implementing them, unblocking them along the way if necessary.
  • Lead a team of data engineers through mentoring and coaching, work closely with the engineering manager, and provide consistent feedback to help them manage and grow the team
  • Work with close counterparts in other departments as part of a multi-functional team, and build this culture in your team.

Qualifications
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.
On Your First Day, We'll Expect
  • You have 12+ years of experience in a Data Engineer role as an individual contributor.
  • You have at least 2 years of experience as a tech lead for a Data Engineering team.
  • You are an engineer with a track record of driving and delivering large (multi-person or multi-team) and complex efforts.
  • You are a great communicator and maintain many of the essential cross-team and cross-functional relationships necessary for the team's success.
  • Experience with building streaming pipelines with a micro-services architecture for low-latency analytics.
  • Experience working with varied forms of data infrastructure, including relational databases (e.g. SQL), Spark, and column stores (e.g. Redshift)
  • Experience building scalable data pipelines using Spark using Airflow scheduler/executor framework or similar scheduling tools.
  • Experience working in a technical environment with the latest technologies like AWS data services (Redshift, Athena, EMR) or similar Apache projects (Spark, Flink, Hive, or Kafka).
  • Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.
  • Industry experience working with large-scale, high-performance data processing systems (batch and streaming) with a "Streaming First" mindset to drive Atlassian's business growth and improve the product experience.

We'd be super excited if you have
  • Built and designed Kappa or Lambda architecture data platforms and services.
  • Experience implementing Master Data Management (MDM) solutions.
  • Built pipelines using Databricks and is well-versed with their APIs.

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.
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 experience as a Data Engineer individual contributor
  • 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 and cross-team and cross-functional relationship-building skills
  • Experience building streaming pipelines with microservices architecture for low-latency analytics
  • Experience with relational databases, SQL, Spark, and column stores such as Redshift
  • Experience building scalable data pipelines using Spark and Airflow or similar scheduling tools
  • Experience with AWS data services such as Redshift, Athena, and EMR, or similar Apache technologies such as Spark, Flink, Hive, or Kafka
  • Understanding of data engineering tools, frameworks, and standards that improve engineering productivity and quality
  • Industry experience with large-scale, high-performance batch and streaming data processing systems
  • Experience designing Kappa or Lambda architecture data platforms and services
  • Experience implementing Master Data Management solutions
  • Experience building pipelines with Databricks and using its APIs

What the Team is Saying

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Atlassian Compensation & Benefits Highlights

  • 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.
  • 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.
  • 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
HQ: San Francisco, CA
11,000 Employees
Year Founded: 2012

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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Employees work remotely.

Atlassians have flexibility in where they work to support their family, personal goals, and other priorities. Our approach to distributed work allows us to tap into talent beyond our office locations, and to reimagine how work gets done.

Typical time on-site: None
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