Senior Manager - Data Engineering

Tredence Inc. is hiring a Senior Manager - Data Engineering to architect and implement scalable data platforms and ingestion pipelines. The role also delivers reporting solutions, improves ETL performance and resilience, and coordinates across teams and vendors.

Responsibilities:

• Architect and implement large-scale data models, apply partitioning and clustering strategies for performance and cost optimization
• Build and manage scalable ingestion pipelines, ensure governance and structured documentation
• Orchestrate modular Cloud Run services with Cloud Tasks for improved ETL workflows and resilience
• Design and deliver end-to-end reporting solutions using Looker, transform raw datasets into actionable dashboards
• Implement advanced LookML models with row-level security and semantic modeling
• Drive automation and templated dashboards, reducing manual reporting time
• Act as a bridge between engineering, product, QA, support, and marketing teams
• Manage vendor and contractor relationships to ensure quality delivery
• Improve query performance and cost efficiency by 35% through execution plan tuning
• Reduce large job processing time by 50% via parallelization strategies
• Enhance system resilience with retry logic, observability, and structured task queues

Requirements:

• Bachelor's degree (or foreign equivalent) in Computer Engineering, Electronics Engineering, or a related field, PLUS five (5) years of experience in the job offered or a related position
• demonstrable knowledge of: BigQuery; Cloud Dataflow & Functions; ETL Orchestration & Resilience; LookML & Semantic Modeling; Dashboard Automation; REST APIs; Python; SQL; CI/CD workflows; shell scripting, and; IAM policies