Senior Snowflake & Data Pipeline Architect — Remote

Experis Technology Group

New Providence (NJ)

Remote

USD 96,000 - 103,000

Full time

48 hours ago
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Job summary

Experis Technology Group is seeking a Senior Data Engineer with strong Snowflake, SQL, Python, and enterprise data warehouse experience. You will design, develop, and optimize scalable data solutions and pipelines across the enterprise.

The role is 100% remote, focusing on cross-functional collaboration and delivering data-informed insights. Ideal candidates have 8+ years in data engineering, hands-on Snowflake, and proficiency with Azure Data Factory and workflow schedulers like Airflow,

Qualifications

  • 8+ years of data engineering experience.
  • Strong Snowflake and SQL/Python development.
  • Experience with data warehouse design and data pipelines.
  • Familiarity with metadata management and data lineage.

Responsibilities

  • Design, develop, and maintain scalable enterprise data warehouse solutions using Snowflake.
  • Build and optimize complex SQL queries, data models, and data pipelines.
  • Develop data engineering solutions using Python and SQL.
  • Work with Azure Data Factory and Azure data services for data integration.
  • Build, manage, and optimize workflows using Airflow, Informatica, or Automic.
  • Perform SQL performance tuning and troubleshoot data pipeline issues.
  • Implement and maintain metadata management, data lineage, and data governance practices.
  • Collaborate with cross-functional teams to support enterprise data initiatives.

Skills

SQL
Python
Data warehousing
ETL pipelines
Data governance
Metadata management

Tools

Snowflake
Azure Data Factory
Airflow
Informatica
Automic

Job description

Experis Technology Group is seeking a Senior Data Engineer with strong Snowflake, SQL, Python, and enterprise data warehouse experience. You will design, develop, and optimize scalable data solutions and pipelines across the enterprise.

The role is 100% remote, focusing on cross-functional collaboration and delivering data-informed insights. Ideal candidates have 8+ years in data engineering, hands-on Snowflake, and proficiency with Azure Data Factory and workflow schedulers like Airflow,

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