Senior Architect, Software Engineering

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 You are a capable, self-motivated data software engineer. You will be a member of the data engineering team working on tasks ranging from design, development, operations of data warehouse, data platform and data pipelines. We enjoy working closely with each other utilizing an Agile development methodology. Priorities can change quickly, but our team members are able to stay ahead to delight every one of our customers whether they are internal or external to Viasat. The day-to-day Design and implement sub-second microservices on AWS and GCP using python for use in payment gateways Draft diagrams and documentation supporting existing and future state architecture Implement and manage cloud network and security components including subnetworks, security groups, routing and other structures Design and implement data architecture constructs including pipelines, data models, data lakes and supporting application ORM's Design and implement cloud infrastructure including serverless components such as Composer, Kubernetes, Cloud functions, lambdas, step functions, etc Monitor and optimize existing data pipelines for performance and reliability What you'll need 7+ years of experience in data engineering with strong knowledge in Python and/or Scala. Experience in Data Warehousing technologies such as Snowflake/BigQuery along with experience on any SQL technologies. Experience with RDBMS technologies (PostgreSQL, MySQL, Oracle, etc.) Experience building CI/CD pipeline and automated software deployments. Experience in design and implementation of robust and highly scalable Data services Hands-on experience with Airflow, Spark or Kafka. Experience working in cloud environment AWS/GCP. Familiarity with Bigdata and data processing ETL/ETL technologies. Problem-solving experience and possess a DevOps approach. Strong oral and written communication skills. Bachelor's degree in Computer Science, Electrical Engineering, or related Engineering Disciplines. What will help you on the job Experience with GitHub Actions Hands-on experience writing REST interfaces Familiarity with analysis of systems requirements, identifications of gaps, and advise on implementable solutions Familiarity with Kubernetes, cloud-based infrastructure, Infrastructure as Code (IaC), and other networking concepts Experience with Big Data and Streaming technologies like Kafka and Spark Salary range $165,000.00 - $260,500.00 / 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 $205,000.00- $307,000.00/ 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 https://careers.viasat.com/benefits. 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 .

Qualifications:

7+ years of experience in data engineering with strong knowledge in Python and/or Scala. Experience in Data Warehousing technologies such as Snowflake/BigQuery along with experience on any SQL technologies. Experience with RDBMS technologies (PostgreSQL, MySQL, Oracle, etc.) Experience building CI/CD pipeline and automated software deployments. Experience in design and implementation of robust and highly scalable Data services Hands-on experience with Airflow, Spark or Kafka. Experience working in cloud environment AWS/GCP. Familiarity with Bigdata and data processing ETL/ETL technologies. Problem-solving experience and possess a DevOps approach. Strong oral and written communication skills. Bachelor s degree in Computer Science, Electrical Engineering, or related Engineering Disciplines.