Lead Cloud Data Engineer (Azure + Snowflake) at Infojini Inc Remote

Comunidade Metodista; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Infojini Inc. is seeking a Lead Cloud Data Engineer to build and optimize scalable data pipelines across Azure and Snowflake. You will shape the medallion data architecture and collaborate with engineering, analytics, and governance teams to deliver reliable, compliant data services.

You’ll own CI/CD automation with Git/Azure DevOps, implement PII masking and RBAC, and optimize Snowflake SQL. Strong leadership, 6–10 years of cloud data experience and a degree in CS or related field are expected.

Qualifications

• 6–10+ years of cloud/data engineering experience; Azure + Snowflake required.
• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or similar.
• Master's degree preferred.

Responsibilities

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

Skills

ADF pipelines

Event Hub

Snowpark

Snowflake SQL

Medallion architecture

Data modeling

Data quality

RBAC

CI/CD pipelines

Git/Azure DevOps

Education

Bachelor's degree

Master's degree preferred

Tools

Azure Data Factory

Snowflake

Event Hub

Snowpark

Git

Job description

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 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