Senior Principal Data Engineer

Atlassian; New York (NY); Remote; USD 194,000 - 312,000; Full time

Job summary

An established industry player is seeking a Senior Principal Data Engineer to join their innovative Go-To Market Data Engineering team. This role offers the chance to build and maintain a robust data lake, manage big data pipelines, and facilitate the movement of billions of messages daily. You will collaborate with various stakeholders to enhance data ingestion and efficiency, while architecting micro-services that support self-serve capabilities. If you thrive in a fast-paced environment and are passionate about solving complex challenges, this opportunity is perfect for you. Join a forward-thinking company that values creativity and technical excellence.

Benefits

Health Coverage

Paid Volunteer Days

Wellness Resources

Flexible Work Environment

Qualifications

• 18+ years of experience in Data Engineering as an individual contributor.
• 7+ years as a tech lead for Data Engineering teams.
• Experience with building streaming pipelines.

Responsibilities

• Help stakeholder teams ingest data faster into the data lake.
• Build micro-services and enable self-serve capabilities.
• Drive large complex, multi-team efforts.

Skills

Data Engineering

Micro-services Architecture

Streaming Pipelines

SQL

Spark

AWS Data Services

Python

Airflow

Education

Bachelor's Degree in Computer Science or related field

Tools

Redshift

Databricks

Flink

Kafka

Job description

Analytics & Data Science | San Francisco, United States | Remote, Remote | Full-Time

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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Atlassian is looking for a Senior Principal Data Engineer to join our Go-To Market Data Engineering (GTM-DE) team which is responsible for building our data lake, maintaining our big data pipelines / services and facilitating the movement of billions of messages each day. We work directly with the business stakeholders and plenty of platform and engineering teams to enable growth and retention strategies at Atlassian. We are looking for an open-minded, structured thinker who is passionate about building services that scale.

On a typical day you will help our stakeholder teams ingest data faster into our data lake, you’ll find ways to make our data pipelines more efficient, or even come up ideas to help instigate self-serve data engineering within the company. Then you will move on to building micro-services, architecting, designing, and enabling self serve capabilities at scale to help Atlassian grow.

We are a team with little legacy in our tech stack and as a result you’ll spend less time paying off technical debt and more time identifying ways to make our data usable and improve our users experience.

As a Senior Principal Data Engineer in the GTM-DE team, you will have the opportunity to apply your strong technical experience building highly reliable services on managing and orchestrating a multi-petabyte scale data lake. You enjoy working in a fast paced environment and you are able to take vague requirements and transform them into solid solutions. You are motivated by solving challenging problems, where creativity is as crucial as your ability to write code and test cases.

On your first day, we'll expect:

You have 18+ years of experience in a Data Engineer role as an individual contributor.

You have at least 7 years of experience as a tech lead for Data Engineering teams, and delivered complex, cross-team initiatives.

You have built durable relationships with executives/senior leaders across Sales, Marketing, Finance, Commerce and related organizations, and understand complexities of data in these organizations.

You are an engineer with a track record of driving and delivering large complex, multi-team 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, dbt, 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), Customer Relationship Management (CRM) solutions.

Built pipelines using Databricks and is well-versed with their APIs.

Contributed to open source projects

Well versed in Python, & Spark and scaling data pipelines

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $233,700 - $311,600

Zone B: $210,400 - $280,500

Zone C: $194,000 - $258,700

This role may also be eligible for benefits, bonuses, commissions, and equity.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

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