Lead Cloud Data Engineer: Azure + Snowflake (Remote)

Comunidade Metodista

United States

Remote

USD 140,000 - 190,000

Full time

8 days ago
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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

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.

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