Technical Lead Data Warehouse & Data Integration
Fulltime
Chicago IL
Hybrid (2 Days in a week)
Salary $130-160K Base
Overview Were looking for a strong Technical Lead who can guide our data engineering efforts while staying hands-on. This role is 60% leadership (managing a small onshore/offshore team) and 40% technical delivery. You will drive modernization across our data warehouse ETL pipelines and reporting platforms as we move from on-prem SQL/SSIS toward Azure Fabric and modern cloud data solutions.
Key Responsibilities Data Engineering & Leadership
-
Lead a distributed team focused on ETL development pipelines and DW loads.
-
Build and maintain data workflows using SSIS SQL Azure Data Factory Fabric and Python/Databricks (nice to have).
-
Support on-prem SQL Server/SSRS and cloud platforms like Redshift and Microsoft Fabric.
-
Stay hands-on-coding debugging reviewing and contributing directly.
Delivery Ownership
-
Manage sprints backlog and progress using Scrum and JIRA.
-
Own end-to-end delivery from requirements through deployment.
-
Identify risks remove blockers and ensure quality and timelines.
Data Quality & Architecture
-
Define and enforce clean architecture and data standards.
-
Lead efforts around data validation cleansing and transformation.
-
Introduce frameworks or tooling to improve data quality and observability.
Collaboration
-
Work closely with Product Owners Architects Analysts and Business Leaders.
-
Communicate roadmaps delivery plans and updates to stakeholders.
-
Partner with BI and DBA teams to align reporting modeling and infrastructure.
Modernization
-
Drive the transition to modern cloud-first DW/ETL solutions.
-
Support evaluation and implementation of tools such as Fabric Synapse Redshift Terraform.
-
Explore automation/AI tooling to improve pipeline reliability and speed.
Required Qualifications -
Bachelors degree in CS IS or equivalent work experience.
-
7 10 years in data warehousing; 3 years in technical leadership.
-
Strong SQL ETL and data warehousing experience (SSIS ADF or similar).
-
Experience with cloud data platforms (Azure AWS GCP) and Redshift or SQL Server.
-
Hands-on experience with Python (plus) Power BI/SSRS and Agile/Scrum.
-
Strong communication ownership and ability to lead delivery.
Preferred Skills -
Experience with Fabric BigQuery Databricks or other modern data platforms.
-
Familiarity with DevOps/CI-CD for data pipelines.
-
Knowledge of data governance security and DataOps practices.
-
Experience with retail or e-commerce analytics.
Technical Lead Data Warehouse & Data Integration Fulltime Chicago IL Hybrid (2 Days in a week) Salary $130-160K Base Overview Were looking for a strong Technical Lead who can guide our data engineering efforts while staying hands-on. This role is 60% leadership (managing a small onshore/offsh...
Technical Lead Data Warehouse & Data Integration
Fulltime
Chicago IL
Hybrid (2 Days in a week)
Salary $130-160K Base
Overview Were looking for a strong Technical Lead who can guide our data engineering efforts while staying hands-on. This role is 60% leadership (managing a small onshore/offshore team) and 40% technical delivery. You will drive modernization across our data warehouse ETL pipelines and reporting platforms as we move from on-prem SQL/SSIS toward Azure Fabric and modern cloud data solutions.
Key Responsibilities Data Engineering & Leadership
-
Lead a distributed team focused on ETL development pipelines and DW loads.
-
Build and maintain data workflows using SSIS SQL Azure Data Factory Fabric and Python/Databricks (nice to have).
-
Support on-prem SQL Server/SSRS and cloud platforms like Redshift and Microsoft Fabric.
-
Stay hands-on-coding debugging reviewing and contributing directly.
Delivery Ownership
-
Manage sprints backlog and progress using Scrum and JIRA.
-
Own end-to-end delivery from requirements through deployment.
-
Identify risks remove blockers and ensure quality and timelines.
Data Quality & Architecture
-
Define and enforce clean architecture and data standards.
-
Lead efforts around data validation cleansing and transformation.
-
Introduce frameworks or tooling to improve data quality and observability.
Collaboration
-
Work closely with Product Owners Architects Analysts and Business Leaders.
-
Communicate roadmaps delivery plans and updates to stakeholders.
-
Partner with BI and DBA teams to align reporting modeling and infrastructure.
Modernization
-
Drive the transition to modern cloud-first DW/ETL solutions.
-
Support evaluation and implementation of tools such as Fabric Synapse Redshift Terraform.
-
Explore automation/AI tooling to improve pipeline reliability and speed.
Required Qualifications -
Bachelors degree in CS IS or equivalent work experience.
-
7 10 years in data warehousing; 3 years in technical leadership.
-
Strong SQL ETL and data warehousing experience (SSIS ADF or similar).
-
Experience with cloud data platforms (Azure AWS GCP) and Redshift or SQL Server.
-
Hands-on experience with Python (plus) Power BI/SSRS and Agile/Scrum.
-
Strong communication ownership and ability to lead delivery.
Preferred Skills -
Experience with Fabric BigQuery Databricks or other modern data platforms.
-
Familiarity with DevOps/CI-CD for data pipelines.
-
Knowledge of data governance security and DataOps practices.
-
Experience with retail or e-commerce analytics.
View more
View less