Data Platform Team Lead

About us

One team. Global challenges. Infinite opportunities. At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We're looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.

What you'll do

In this Data Platform team lead role, you will be accountable for leading a team of 5 engineers to build and maintain Viasat's Data Platform in a Google Cloud Platform environment. You will be responsible for quarterly planning, sprint planning, leading, and executing planned work. You will design and implement solutions to manage our data lake, govern our data, and enable AI and ML solutions.

The day-to-day

As the lead of a team, you'll help set direction, mentor junior team members, and execute on our road map for our data platform.

We look for:

• The ability to communicate clearly and work well with both technical and non-technical teams.
• The ability to take on projects with vague requirements, distill them into software or data engineering tasks, and complete them with the help of junior engineers.
• Proven ability to work with other teams and with product management.
• The ability to plan, execute on and track software and data engineering tasks.

What you'll need

• 2+ year of team leadership, or comparable leadership experience.
• 5+ years proven data engineering experience using common data engineering languages (Java or Python) and common data engineering framework and tools like DBT, Spark, and Flink.
• Familiarity with RDBMS technologies (PostgreSQL, MySQL, Oracle, etc.)
• Experience in Linux based systems, docker, and code versioning tooling (Git/CI/CD).
• Familiarity with at least one cloud provider such as AWS, Google Cloud Platform, or Azure.
• Experience with at least one of Looker, Superset, or Tableau.
• Experience in design and implementation of robust and highly scalable data services.
• Proven team player with the ability to manage multiple projects simultaneously in a fast-paced dynamic agile work environment.
• Bachelor's degree in computer science, computer engineering, or electrical engineering or equivalent technical background and experience.
• Ability to travel up to 10%.

What will help you on the job

• Understanding of distributed and parallel computing architectures.
• Experience with Big Data and Streaming technologies like Kafka, Flink, Spark, DBT, Airflow, Big Query, and Trino.
• Knowledge/Understanding of Satellite systems and technologies.
• Previous work in business or customer analytics.

Salary range

$121,000.00 - $191,500.00 / annually.For specific work locations within San Jose, the San Francisco Bay area and New York City metropolitan area, the base pay range for this role is $150,500.00- $225,500.00/ annually

At Viasat, we consider many factors when it comes to compensation, including the scope of the position as well as your background and experience. Base pay may vary depending on job-related knowledge, skills, and experience. Additional cash or stock incentives may be provided as part of the compensation package, in addition to a range of medical, financial, and/or other benefits, dependent on the position offered. Learn more about Viasat's comprehensive benefit offerings that are focused on your holistic health and wellness at
EEO Statement

Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here.