Senior ETL/BI Architect: Snowflake & Databricks Focus

MACHINE LEARNING TECHNOLOGIES LLC; Lansing (MI); On-site; USD 96,000 - 138,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Lansing, MI is seeking a Senior ETL/BI Developer to join a cross-functional data team for 24 months with possible extension. The role requires expertise in ETL, data warehousing, BI reporting, and dashboards, with experience in Snowflake and Databricks.

You will collaborate with business users and IT staff, design data models, ensure data quality, and contribute to disaster recovery and security test plans.

Qualifications

• Bachelor's degree or equivalent technical study.
• 6+ years creating Data Warehouse BI applications including ETL/data mart development, reporting, dashboards and delivery systems.
• Experience bridging ETL and BI tasks in cross-functional settings; Snowflake and Databricks experience preferred.
• 2+ years in Child Welfare Services or related domain experience.

Responsibilities

• Work cross-functionally between ETL and BI tasks to deliver data solutions.
• Collaborate with analysts and business users to clarify requirements and develop data models.
• Design and optimize data pipelines, data reconciliation, and reporting performance.
• Contribute to disaster recovery planning and test plans for production systems.
• Assist with architecture, DBA collaboration, and documentation updates.
• Provide end-user training and knowledge transfer where needed.

Skills

ETL

BI

Data Warehouse

SQL

Dashboards

Snowflake

Databricks

Teradata Studio

Education

Bachelor's degree

Tools

Snowflake

Databricks

Teradata Studio

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Lansing, MI is seeking a Senior ETL/BI Developer to join a cross-functional data team for 24 months with possible extension. The role requires expertise in ETL, data warehousing, BI reporting, and dashboards, with experience in Snowflake and Databricks.

You will collaborate with business users and IT staff, design data models, ensure data quality, and contribute to disaster recovery and security test plans.