SPECTRUM: Principal Analytics Architect

Company: Spectrum
Location: Englewood
Posted on: August 3, 2020

Job Description:

Company Overview: Charter Communications is America's fastest growing TV, internet and voice company. We're committed to integrating the highest quality service with superior entertainment and communications products. Charter is at the intersection of technology and entertainment, facilitating essential communications that connect 24 million residential and business customers in 41 states. Our commitment to serving customers and exceeding their expectations is the bedrock of Charter's business strategy and it's the philosophy that guides our 90,000 employees. The Advanced Analytics group has implemented and is operating a new advanced Big Data analytics platform that enables new self-service analytics, decision engineering support, machine learning, modeling, forecasting, and optimizations in Charter's Advanced Engineering organization. This position is responsible for the guidance and architecture of the Advanced Analytics Platform. The architect will make high-level design decisions, directing tools, platforms and coding standards, and provide guidance for data strategy and governance to build a next-generation analytics environment, that provides real-time analytics as well as artificial intelligence and machine learning capabilities. MAJOR DUTIES AND RESPONSIBILITIES Design and implement a data platform called Network:1 Data Plane, with data acquisition, distribution monitoring capabilities, and governance for data pipelines. Design and implement big data, production-level data processing architectures such as Lambda architectures. Work with other teams within the organization to ensure efficient and accurate data transfer to the Network:1 Data Distribution Hub. Must be an expert on the latest Apache Stack technologies, as well as other analytics offerings and newest technologies. Works closely with stakeholders on the data demand side (data engineers and data scientists). Works closely with stakeholders on the data supply side (domain experts on source systems of the data). Focuses on key business results and can weigh business, technical, and strategic architectural tradeoffs. Demonstrates care about customers, are metrics-driven, and can communicate the costs and tradeoffs of your ideas to top management. REQUIRED QUALIFICATIONS Strong experience with distributed computing architectures, including Apache Hadoop and Apache Spark or other distributed computing environments, like Mesos. Strong experience with data streaming architectures such as Apache Kafka, with experience with stream processing frameworks such as Apache Spark Streaming or Apache Kafka Streams. Must have knowledge and experience creating of production-level data processing architectures based on Lambda or Kappa approaches. Must understand functional programming concepts like Filter Map Reduce and functional programming languages like Scala or Python. Expertise in data storage that demonstrates knowledge of when to use a file system, relational database, or NoSQL variant. Strong background in Linux/Unix/CentOS installation and administration. Expert in large scale data collection, ingestion, and distribution systems. Experience with large scale Kafka implementations is a must. Ability to identify and resolve end-to-end performance, network, server, and platform issues. Keen attention to detail with the ability to effectively prioritize and execute multiple tasks. Ability to read, write, speak and understand English. PREFERRED QUALIFICATIONS Familiarity with Machine Learning and Artificial Intelligence frameworks and tools such as Tensorflow, Caffe, and Python. Familiarity with Graph database technologies, such as Neo4j. Familiarity with data workflow/data prep platforms, such as Alteryx, Pentaho, or KNIME. Experience with large scale data collection and distribution systems and architectures. Knowledge of best practices and IT operations in an always-up, always-available service. Education Bachelor's degree in an engineering discipline or computer science. Master of Science in an engineering discipline, computer engineering or computer science. Related Work Experience 10 15+ years of Linux/Unix/CentOS system admin; Windows experience a plus. 10-15+ years of hands-on working experience with embedding analytics applications, model scoring, RDBMS, SQL, scripting, and coding. Experience delivering one major analytics oriented system where candidate was responsible for designing the architecture, implementing, operating, and supporting. WORKING CONDITIONS Charter Technical Engineering Center Highly collaborative and innovative workspace Occasional Travel

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