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Manager - Data Engineering

Job

LatentView Analytics

San Jose, CA (In Person)

Full-Time

Posted 3 days ago (Updated 14 hours ago) • Actively hiring

Expires 7/3/2026

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Job Description

Manager•Data Engineering LatentView Analytics•3.8 San Jose, CA Job Details 3 hours ago Qualifications Cloud analytics services Management Application Architecture Design (Architecture design skill) Production systems
BigQuery Full Job Description Designation:
Manager•
Data Engineering Level:
L4
Experience:
10 to 12 years
Location:
San Jose, California, United States Job Description Key Responsibilities Architectural Leadership & Delivery Data Mesh Orchestration:
Spearhead the design and implementation of the GCP Data Mesh, championing domain-oriented ownership and decentralized governance. Platform as a
Service:
Architect core components of a standardized Data Platform, providing scalable and reusable capabilities across diverse global business units.
Medallion Architecture Mastery:
Lead the design of the Gold layer (Fact & Dimension tables), ensuring datasets are highly optimized for executive BI dashboards and downstream consumption.
Pipeline Engineering:
Oversee the integration of enterprise domain systems by designing resilient, incremental data pipelines that handle complex financial datasets with high fidelity.
Semantic Layer & Data Products:
Build the enterprise Semantic Layer to serve domain-specific Data Products, enabling self-service analytics and an AI-ready data infrastructure.
Governance & Optimization Observability & Quality:
Embed automated data quality checks and comprehensive observability dashboards directly into the platform to ensure "trust by design."
Performance Tuning:
Drive advanced BigQuery optimization strategies, including clustering, partitioning, and indexing, to manage high-volume data warehouse performance.
Strategic Collaboration:
Act as the lead architectural partner for Domain SMEs, ensuring platform reliability while maintaining alignment with Agile delivery milestones.
Technical Qualifications Experience Profile Industry Tenure:
10-12 years in Data Engineering, with at least 3-5 years in a lead or managerial capacity.
Proven Track Record:
Demonstrable success in architecting end-to-end business solutions from discovery to production.
Cloud Expertise:
Deep, hands-on mastery of the Google Cloud Platform (GCP) ecosystem, including:
Storage/Compute:
BigQuery, GCS, Dataproc, Dataflow.
Orchestration & Messaging:
Cloud Composer (Airflow), Pub/Sub, Cloud Functions. Job Snapshot Updated Date 01-06-2026 Job ID J_5276 Location San Jose, California, United States Experience 10•12 Years Employee Type Permanent