Lead Cloud Data Engineer (Azure + Snowflake)

  • Posted 8 hours ago | Updated 8 hours ago

Overview

Remote
Full Time

Skills

Data Governance
Streaming
Data Architecture
Encryption
RBAC
Regulatory Compliance
Business Intelligence
Analytics
Git
DevOps
Recovery
Workflow
Cloud Computing
Microsoft Azure
ADF
Snow Flake Schema
SQL
Data Modeling
Data Quality
Continuous Integration
Continuous Delivery
Version Control
Communication
Computer Science
Data Engineering
Information Systems

Job Details

Role: Lead Cloud Data Engineer (Azure + Snowflake)
Location: USA Remote
Type: Full Time Permanent Role (NO Contract)

Lead Cloud Data Engineer to build and optimize scalable data pipelines across Azure and Snowflake. This role sits at the intersection of engineering, analytics, and data governance - shaping the medallion architecture that powers insights for our clients and internal teams.

If you enjoy solving complex data challenges, leading technical decisions, and building high-performing cloud data systems, you'll thrive here.

What You'll Do:

  • Build and maintain ADF pipelines, Event Hub streaming, and batch ingestion workflows
  • Develop Snowpark transformations and optimize Snowflake SQL for performance and cost
  • Own the Bronze Silver Gold data architecture, including schema enforcement and automated quality checks
  • Implement PII masking, encryption, RBAC, and compliance controls aligned to governance standards
  • Enable integration with downstream BI tools, APIs, and analytics platforms
  • Support CI/CD automation using Git/Azure DevOps and implement monitoring, alerting, and recovery workflows

What You Bring:

  • 6 10+ years of cloud/data engineering experience - Azure + Snowflake required
  • Hands-on with ADF, Event Hub, Snowpark, medallion architecture, and Snowflake SQL
  • Strong background in data modeling, data quality frameworks, and secure data handling
  • Experience in CI/CD pipelines, version control, and infrastructure automation
  • Strong communication skills and the ability to lead technical discussions with cross-functional teams

Education

  • Bachelor's degree required in Computer Science, Data Engineering, Information Systems, or similar
  • Master's degree preferred
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