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Senior Architect, Software EngineeringViaSat • United States
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Senior Architect, Software Engineering

ViaSat
  • US
    United States
  • US
    United States
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About

Data Software Engineer
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
Lead the design and implementation of sub-second, highly scalable microservices on AWS and GCP using Python, supporting mission-critical payment gateway systems Own architectural direction by producing and maintaining clear diagrams and documentation for both current and future-state systems Independently design and manage cloud networking and security architecture, including subnetworks, security groups, routing, and secure system boundaries Architect and optimize data ecosystems, including pipelines, data models, and data lake solutions, while guiding best practices for ORM integration across applications Drive cloud infrastructure strategy and implementation, leveraging serverless and containerized technologies such as Kubernetes, Cloud Functions, Lambda, Step Functions, and Composer Continuously improve system performance and reliability by proactively monitoring, tuning, and scaling data pipelines and distributed systems Provide technical leadership and mentorship, guiding junior engineers and influencing best practices across complex initiatives Act as a subject matter expert, making independent decisions on architecture, tooling, and implementation approaches for large-scope or ambiguous problems What You'll Need
7+ years of progressive experience in data engineering, with deep expertise in Python and/or Scala and a track record of delivering large-scale, high-impact data solutions Advanced experience designing and optimizing modern data warehousing solutions (Snowflake, BigQuery), with strong command of SQL and performance tuning at scale Expert knowledge of RDBMS technologies (PostgreSQL, MySQL, Oracle), including data modeling, query optimization, and enterprise-grade implementations Proven ability to design and lead CI/CD strategy, implementing automated build, test, and deployment pipelines for data and platform services Demonstrated ownership in architecting and delivering highly scalable, resilient data services, including distributed and real-time systems Strong hands-on expertise with distributed data frameworks such as Airflow, Spark, and Kafka, with the ability to guide best practices and architectural decisions Deep experience operating in AWS and/or GCP environments, driving cloud-native patterns and infrastructure best practices Advanced knowledge of big data and ETL/ELT frameworks, including designing end-to-end data pipelines and optimizing for performance, reliability, and cost Strong problem-solving capability with a DevOps mindset, proactively identifying risks and driving solutions across the software lifecycle Excellent communication and influencing skills, with experience collaborating across teams and mentoring engineers on complex technical challenges Bachelor's degree in Computer Science, Electrical Engineering, or related technical discipline (or equivalent practical experience) 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
$200,000.00 - $315,500.00 / 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 $248,500.00- $372,500.00/ 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. 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.
  • United States

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