Lead Cloud Data Engineer; Azure + Snowflake) at Infojini Inc Remote
Remote / Online - Candidates ideally in
Jacksonville, Duval County, Florida, 32099, USA
Listed on 2026-11-01
Jacksonville, Duval County, Florida, 32099, USA
Listing for:
Comunidade Metodista
Full Time, Remote/Work from Home
position Listed on 2026-11-01
Job specializations:
-
IT/Tech
Data Engineering, Azure, Cloud Computing: Infrastructure & Operations, Data Warehousing
Job Description & How to Apply Below
Lead Cloud Data Engineer (Azure + Snowflake) job at Infojini Inc. Remote.
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 Dev Ops 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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