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Chicago, Illinois
United States
General Business
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Sr. Architect- Big Data


Data Science, Business Intelligence and Data Warehouse Chicago, Illinois

Position at Gogo Commercial Aviation

Sr Architect - Big Data

As a Sr Architect at Gogo, you must have extensive experience building and operating Big Data solutions with a proven track record in driving business success by designing, adopting and applying big data strategies and architectures. You must be experienced in large-scale system implementations with a focus on complex data processing and analytics pipelines. You must demonstrate a deep understanding of data analytics best practices, and expertise in data modeling, data cleansing, data mining, machine learning, and data virtualization. The Sr Architect must be a consensus builder across a highly-technical, cross-functional team. They must be able to demonstrate innovative approaches to complex problems which deliver industry-leading experiences for our clients.

What you'll do:
  • Architect and implement roadmaps and bring to life revolutionary new analytics and insights.
  • Provide technical direction to the data engineering teams.
  • Collaborate with cross-functional teams to utilize the new big data tools
  • Design and develop code, scripts and data pipelines that leverage structured and unstructured data.
  • Evaluate new big data technologies.
  • Provide architecture and technology leadership for AWS.
  • Develop and recommending novel and innovative -- yet proven and demonstrated -- approaches to solving business and technical problem
  • Responsible for development using Java, Scala, Python language and Big Data Frameworks, DynamoDB, Scala, Spark, S3, Data pipeline.
  • Reviewing, analyzing and evaluating market requirements, business requirements and project briefs in order to design the most appropriate end-to-end technology solutions
  • Integrating with external data sources and APIs
  • Work with the developers, business analysts and subject matter experts to understand the complex technological system in order to produce integrated end-to-end solution options

What you'll bring to the table:
  • BS (Masters preferred) degree in relevant disciplines.
  • 7+ years of work experience.
  • Experience in architecting and engineering innovative data analysis solutions
  • Experience with architectural patterns for data-intensive solutions
  • Expertise in real-time streaming and migrating batch-style data processing to streaming and micro-batch solutions
  • Use of distributed messaging systems to rewrite systems in place
  • Knowledge of the RDBMS core principles; set up, tune, design, as well as newer unstructured data tools
  • Understand terminology involved in Data Science and familiarity with Machine Learning concepts
  • Must be a hands on individual who is comfortable leading by example
  • Experience with Agile Methodology
  • Outstanding verbal and written communication skills.
  • Experience with AWS Data Stack using S3, EMR, Data Pipeline, Big Data Frameworks, DynamoDB, Scala, Spark, Python.

Gogo's worldwide inflight Wi-Fi services have made internet and video entertainment a regular part of flying. We are a diverse group of technologists, marketers, strategists, and any other function you can think of- all working together in extraordinary harmony. And that's just the beginning.

We connect the aviation industry and its travelers with innovative technology and applications, and we do it all in a high-energy environment that welcomes the next challenge. Be prepared for a dynamic ride with people who are passionate about what they're building.

Gogois an equal opportunity employer and works in compliance with both federal and state laws. We are committed to the concept regarding Equal Employment opportunity. Qualified candidates will be considered for employment regardless of race, color, religion, age, sex, national origin, marital status, medical condition or disability. The EEO is the law and is available here.

Gogo participates in E-Verify. Details in English and Spanish. Right to Work Statement in English and Spanish.