San Francisco, United States

Technical Lead, Data Infrastructure Engineering

The Data Infrastructure team builds the infrastructure responsible for consuming, exposing and creating product and product-derived datasets. This team owns the pipelines that transport and process database data from all of Asana’s product surfaces. We build and operate the infrastructure and services that ensure data accuracy and data availability for stakeholders in Data Science, Business and feature teams.

We are looking for an engineering lead who can provide technical leadership and strategic direction for our data platform. You will be responsible for the delivery and technical quality of our programs, taking on complex multi-year projects, and lead the work of several ICs. You’ll also partner with cross-functional stakeholders to drive initiatives forward, and mentor team members in technical design, project leadership, and running team processes.

What you’ll achieve

Own the core data pipeline and be responsible for scaling up data processing to meet the rapid data growth at Asana
Some upcoming technical challenges you may work on include scaling our data ingestion pipelines across a growing number of AWS data centers, reducing the latency of our product data ingestion pipelines through moving batch jobs into a streaming architecture, and extending our data lake architecture for the growing ecosystem of data ingestion and creation tools at Asana
Design, build, and operate streaming and batch services used by all of Asana
Collaborate across organizational boundaries to ensure the shared roadmap and streamlined delivery of features
Mentor engineers on the team and build high quality engineering practices
Design and implement tooling and automation for clustering, scaling, monitoring and alerting
Participate in the on-call rotation, investigate, and resolve production problems

About you

Bachelor Degree in Computer Science, Math, Statistics, Engineering, a related quantitative field, or equivalent experience
5+ years of industry experience with a background in data infrastructure engineering
Experience in a lead role and/or organizing team processes
Experience in developing ETL jobs using a distributed processing framework
Experience with our tech stack - Scala, Python, Spark, Airflow, Kubernetes, AWS-based infrastructure
Experience with streaming frameworks like Spark Streaming, Flink or Apache Beam

About us

At Asana, we're building a better way to work, fueled by transparency, inclusion, and technology that is a force for positive change. Asana is a work management platform that helps teams orchestrate their work, from daily tasks to strategic initiatives, so they can move faster and accomplish more with less. For the past 5 years, we've been named a top workplace, including top 10 Great Place to Work Best Small & Medium Workplaces, #1 Fortune Best Workplace in the Bay Area for four years in a row, #8 Fortune Best Workplaces for Women, #14 Glassdoor Best Place to Work, and one of Ireland's Best Workplaces. With offices all over the world, we are always looking for curious, collaborative, and mission-driven people to help us enable the world’s teams to work together effortlessly.

We believe in supporting people to do their best work and thrive, and building a diverse, equitable, and inclusive company is core to our mission. Our goal is to ensure that Asana upholds an inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, and veteran status.

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Technical Lead, Data Infrastructure Engineering

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