Staff Analytics Engineer
Core
Lead data platform and pipeline architecture, data strategy, and visualization efforts to drive unified QoE analytics and self-service analytics ecosystems for global streaming brands.
Role type
Staff Analytics Engineer (Data Platform & Strategy)
Builds
Enterprise-grade data platforms, real-time streaming pipelines, data lakes, warehouses, and self-service analytics tools.
Domain
Media & Entertainment / Streaming / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data platform architecture, ETL/ELT pipeline design, semantic modeling, distributed systems, cloud-native infrastructure, Infrastructure-as-Code, data streaming, observability, dimensional modeling, advanced SQL, Python/Go programming.
Preferred skills
Machine learning lifecycle management, AI/ML ecosystem platforms, feature engineering, experimentation frameworks.
Technologies
Spark, Kafka, Flink, Databricks, Snowflake, AWS/GCP, Docker, Kubernetes, Terraform, Prometheus, CloudWatch, Kibana, OpenTelemetry, Athena, Redshift, BigQuery, Splunk, PostgreSQL, MongoDB, Looker, Tableau, MLflow, TensorFlow, PyTorch.
Responsibilities
Lead data platform and pipeline design; manage projects from requirements to implementation of full-stack data solutions; partner with stakeholders to build advanced analytical solutions; design data models supporting flexible querying and visualization; create frameworks to multiply team productivity; establish engineering best practices and analytics standards; solve data anomalies through systematic solutions; mentor engineers and influence data strategy.
Seniority
Staff, hands-on IC with strategic influence
