(UP024) Data & Telemetry Architect - Talent Connection

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Requirements:

• 5+ Years of experience in Data Architecture, including designing robust data models (e.g., Splunk CIM, star/snowflake schemas) and data governance frameworks tailored to large-scale, high-volume telemetry data (preferably within telecommunications).
• 3+ Years of hands-on experience in at least two of the following observability platforms: Splunk (including Splunk Search Processing Language – SPL, and Common Information Model – CIM), ELK Stack (Elasticsearch, Logsearch complex pipelines, Kibana dashboards), Grafana and Prometheus for implementing observability solutions.
• 2+ Years of strong scripting skills (e.g., Python, Bash, PowerShell) for automation of telemetry system deployment, configuration management, and operational tasks.
• Experience designing and implementing observability solutions with audit trails for user/system activities.
• Familiarity with distributed tracing concepts and tools (e.g., OpenTelemetry, Grafana Tempo, Jaeger).
• Understanding of telco network architectures (4G/LTE, 5G) and common data sources (CDRs, IPDRs, signaling data).
• Proven experience designing scalable observability systems in telco or high-throughput environments.
• Knowledge of security best practices for telemetry platforms (data encryption, RBAC).
• Experience with cloud environments (AWS, Azure or GCP) and native cloud monitoring tools (CloudWatch, Azure Monitor or Google Operations Suite).
• Experience designing and implementing data warehousing or data lake solutions for high-volume telemetry data.

Responsibilities:

• Design, implement, and manage telemetry systems to enhance telecommunications operations.
• Develop and optimize telemetry and observability platforms using tools like Splunk, ELK Stack, Grafana, and distributed tracing solutions.
• Ensure network performance, service assurance, and security through advanced telemetry strategies.