Senior Snowflake Data Engineer & Architect (ELT/ETL)

Info Origin Inc; Ohio; Remote; USD 83,000 - 96,000; Full time

Job summary

Info Origin Inc. in Ohio is seeking a Senior Snowflake Data Engineer / Data Architect to design, develop, and manage enterprise-level cloud data platforms.

The role requires hands-on expertise with Snowflake, Python, and SQL, and a strong background in ELT/ETL pipelines. You will implement Medallion Architecture and build scalable data warehouses, Lakehouse solutions, and BI-ready datasets.

Qualifications

• 5+ years of experience in Data Engineering, Data Warehousing, or Data Architecture.
• Strong hands-on experience with Snowflake.
• Expert-level SQL and Python skills.
• Experience building automated ELT/ETL pipelines.
• Knowledge of Medallion Architecture and Lakehouse solutions.
• Hands-on experience with Alation Data Catalog.
• Experience with data governance, metadata management, and data lineage.
• Experience with structured and semi-structured data (JSON, APIs).

Responsibilities

• Design and develop automated ELT/ETL pipelines using Python, SQL, and Snowflake.
• Implement and manage Medallion Architecture (Bronze, Silver, Gold).
• Build and optimize data warehouses, Lakehouse solutions, and data models.
• Perform data migration from legacy systems to modern cloud platforms.
• Manage data governance, metadata, and data lineage using Alation.
• Develop data quality frameworks, reporting solutions, and BI-ready datasets.
• Document architecture, technical standards, and best practices.

Skills

Snowflake

SQL

Python

ELT/ETL pipelines

Medallion Architecture

Alation

Data governance

Data lineage

JSON/APIs

Data Warehousing

Education

Bachelor's degree in Computer Science/IT/Data Analytics or related field

Tools

Snowpark

dbt

ER Studio

Snowflake Streams and Tasks

Job description

Info Origin Inc. in Ohio is seeking a Senior Snowflake Data Engineer / Data Architect to design, develop, and manage enterprise-level cloud data platforms.

The role requires hands-on expertise with Snowflake, Python, and SQL, and a strong background in ELT/ETL pipelines. You will implement Medallion Architecture and build scalable data warehouses, Lakehouse solutions, and BI-ready datasets.