Job Title: Principal Data Architect Location: Denver CO Experience: 12 years Experience in 5g and telecom mandatory Job Responsibilities : Research and strategize data analytical solutions to transform envisioned 5G features challenges. Deploy integrated data analytics framework (applicationlevel data network and accessrelated analytics) in a 5G system to support servicebased architectures Pysprak framework experience for building data lake (S3/Iceburg) data warehouse (on Redshift Serverless/Spectrum) EMR (serverless) Pipelines & Catalogs construction Glue Athena Orchestration & Schedulers Airflow Lambda & Step Functions KPIs building Tableau & Elastic Search Research & deploy analytical solution across network service & customer assurance Support data and cloud transformation initiatives Support our software engineers and data scientists Contribute to our cloud strategy based on prior experience Understand the latest technologies in a rapidly innovative marketplace Independently work with all stakeholders across the organization to deliver enhanced functionality Telecom Knowledge on below areas : Good understanding of 5G features/slice/service types architecture and 3GPP standardization that are underway. Good understanding of 5G domains Radio access network (RAN) transport network (TN) core network (CN) and services Good understanding of how data analytics can be leveraged to Relax complexity and signaling requirements Optimize network function and resource allocation & utilization Improve 5G system management dynamic network & service adaption Good awareness of deploying analytics at RAN Base station Distributed and Central network architecture per 3GPP specification Exposure to Network Service & Customer assurance solutions. Gather and understand data requirements work in the team to achieve high quality data ingestion and build systems that can process the data transform the data. data transformation,low latency,business operations,hadoop,bigdata,documentation,training,excel,kubernetes,programming languages,reporting,data warehouses,was,business knowledge,ml,azure,architecting,big data,cost optimization,sustainability
