Big Data Solutions Architect Position

5 days ago


Littleton, Colorado, United States DISH Network Full time
Job Summary

At DISH Network, we're reimagining the future of connectivity. As a Big Data Solutions Architect, you'll play a vital role in connecting consumers with the products and platforms of tomorrow.

Key Responsibilities:

  • Design and deploy enterprise-ready, secure, and compliant data-oriented solutions leveraging Data Warehouse, Big Data, and Machine Learning frameworks
  • Optimize data engineering and machine learning pipelines to drive business growth
  • Review architectural designs to ensure consistency and alignment with defined target architecture and adherence to established architecture standards
  • Support data and cloud transformation initiatives to drive innovation
  • Contribute to our cloud strategy based on prior experience and expertise
  • Stay up-to-date with the latest technologies in a rapidly innovative marketplace
  • Collaborate with stakeholders across the organization to deliver point and strategic solutions
  • Assist solution providers with the definition and implementation of technical and business strategies

Requirements:

  • Bachelor's Degree in a technical field
  • 12 years of experience working as a Data Warehouse/Big Data Architect
  • Experience in AWS cloud transformation projects is required
  • Telecommunication domain experience is preferred

Skills and Qualifications:

  • AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloudwatch, and Data Pipeline
  • Advanced Apache Spark processing framework, and spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting
  • Logical & physical table design in Big Data environments to suit processing frameworks
  • Functional programming and Spark SQL programming dealing with processing terabytes of data
  • Specific experience in writing Big Data engineering for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage
  • Advanced SQL experience including SQL performance tuning is a must
  • Big data frameworks such as MapReduce, HDFS, Hive/Impala, AWS Athena
  • Knowledge of using, setting up, and tuning resource management frameworks such as Yarn, Mesos, or standalone spark
  • Knowledge in a variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/Postgres, MongoDB

Compensation:
$146,300.00/Year - $209,000.00/Year

Benefits:
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits .
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.

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