Principal Data Engineer: Scale Enterprise Data Platforms

Kaleidoscope; Charlotte (NC); On-site; USD 140,000 - 190,000; Full time

Job summary

Kaleidoscope in Charlotte, NC is seeking a Principal Data Engineer to design, develop, and maintain scalable data solutions across data engineering, warehousing, and cloud technologies. You will lead efforts across data pipelines, data integration, and analytics platforms, leveraging AWS, Snowflake, Python, SQL, and dbt to deliver robust data ecosystems.

Ideal candidates will have extensive experience in enterprise data environments, data modeling (Data Vault), and data quality governance, with

Qualifications

• Strong hands-on data engineering in enterprise environments.
• Experience with AWS services (S3, Lambda, DynamoDB).
• Snowflake and cloud data warehousing expertise.
• Advanced Python and SQL development skills.
• Experience building ETL/ELT and data integration solutions.
• Experience with data warehousing and Data Vault modeling.
• Familiarity with data transformation tools like dbt.
• Experience with data quality, governance, metadata management, and data lineage.

Responsibilities

• Design, develop, and optimize scalable data pipelines and data integration solutions.
• Support data warehouses, data lakes, and analytics platforms with scalable architectures.
• Build and optimize ETL/ELT processes using modern data engineering tools.
• Develop data solutions using AWS services (S3, Lambda, DynamoDB) and Snowflake.
• Model data including Data Vault and manage data across enterprise environments.
• Write and optimize SQL and Python for data processing; work with dbt workflows.
• Collaborate with teams to translate requirements into scalable data solutions.
• Ensure data quality, governance, and lineage across data platforms.

Skills

AWS

Python

SQL

ETL/ELT

Data Warehousing

Data Modeling

Data Vault

dbt

Data Governance

Data Quality

Tools

Snowflake

Qlik Replicate

IBM InfoSphere DataStage

IBM CP4D

dbt

Job description

Kaleidoscope in Charlotte, NC is seeking a Principal Data Engineer to design, develop, and maintain scalable data solutions across data engineering, warehousing, and cloud technologies. You will lead efforts across data pipelines, data integration, and analytics platforms, leveraging AWS, Snowflake, Python, SQL, and dbt to deliver robust data ecosystems.

Ideal candidates will have extensive experience in enterprise data environments, data modeling (Data Vault), and data quality governance, with