We're looking for an experienced manager to lead a team of highly-skilled data engineers. In this role, we expect you to possess a passion for helping grow and develop a high-performing and diverse team, and lead strategies to build scalable, consistent, and accessible data ecosystem. If you are passionate about strategy, planning, seamless execution, and building a high-performing team then we need you!

In this role, you will get to

• Build and lead a global team of data engineers through hiring, coaching, mentoring, and hands-on career development
• Provide deep technical guidance in a number of aspects of data engineering in a scalable ecosystem
• Lead data engineering strategy, manage partners, and help team navigate through complexities
• Work closely with partners across the company, and enhance this culture in your team
• Lead the technical product management and scrum master function in the team
• This role is located in Austin, may have occasional travel to Bengaluru and Sydney

More about you...

• You have at least 3 years of people management experience in data engineering field
• You have stellar people management skills and experience in leading an agile software team
• You thrive when developing phenomenal people, not just great products
• You bring expertise in building and maintaining high-quality components and services
• You are able to drive technical excellence, pushing for innovation and quality
• Experience with solution building and architecting with public cloud offerings such as Amazon Web Services, Redshift, S3, EMR/Spark/Hive, Presto/Athena
• Experienced in SQL, data modeling and ETL processes
• Experienced in building data pipelines with such workflow tools as Airflow, Oozie or Luigi
• Deep understanding of big data challenges and eco-system
• Experience with test automation and continuous delivery
• A graduate degree in Computer Science or similar discipline

It's great but not required if...

• Proficiency in at least one high-level programming language such as Python
• Understanding and experience building RESTful APIs and microservices
• Experience with Tableau and Tableau administration
• Experience with Machine Learning
• You have worked closely Data Science teams or analytics teams
• You've committed code to open source projects and have some examples