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Consultant - Data Engineering
Job in
San Jose, Santa Clara County, California, 95199, USA
Listed on 2026-06-05
Listing for:
LatentView
Full Time
position Listed on 2026-06-05
Job specializations:
-
IT/Tech
Data Engineering, Cloud Computing
Job Description & How to Apply Below
Consulatant - Data Engineering
Level: L3
Experience:
7 to 10 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 Big Query 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:
Big Query, GCS, Dataproc, Dataflow.
Orchestration & Messaging:
Cloud Composer (Airflow), Pub/Sub, Cloud Functions.
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