Data Engineering Technical Leader - CX AI
Core
Architect and build scalable cloud-native data platforms, distributed pipelines, and backend services to power real-time CX analytics and AI/ML consumption.
Role type
Senior IC Data Engineering Technical Leader
Builds
Cloud-native data platforms, lakehouse architectures, and backend services for real-time analytics and AI
Domain
Telecom/Networking, Data Engineering, AI/ML Infrastructure
Deliverable
production ML models
Required skills
Python, SQL, Go/Java/Node.js/Rust, REST/GraphQL API design, PostgreSQL/MySQL/NoSQL, Apache Kafka, AWS SQS/SNS, Snowflake/Databricks/BigQuery/Redshift, CI/CD automation, containerization
Preferred skills
Large-scale data ingestion, Change Data Capture (CDC), semantic modeling, feature stores, data observability, AI-assisted development tools
Technologies
Snowflake, Databricks, BigQuery, AWS Redshift, Apache Kafka, AWS SQS/SNS, Jenkins, GitHub Actions, OpenTelemetry, Datadog, Prometheus
Responsibilities
Architect scalable cloud-native backend services and data platforms; Design robust batch and streaming ETL/ELT pipelines; Establish enterprise-grade standards for data modeling and observability; Define high-performance API contracts and backend microservices; Mentor engineering pods and drive technical governance
Seniority
Senior, hands-on IC with leadership responsibilities
