Principal Data Architect

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