Job Duties – Data Warehouse Lead

Lead the design, development, and implementation of enterprise data warehouse solutions supporting analytics and reporting initiatives

Architect and manage ETL/ELT pipelines using Informatica PowerCenter and IDMC to integrate data from multiple source systems

Define and enforce data architecture standards, data models, and best practices for scalability and performance

Oversee development of data marts, dimensional models (star/snowflake schemas), and optimized warehouse structures

Collaborate with business stakeholders to translate requirements into data solutions, dashboards, and reporting frameworks

Drive development of BI dashboards and reporting solutions using Tableau, Power BI, and MicroStrategy

Ensure data quality, governance, and security compliance, including data validation, lineage, and audit processes

Lead and mentor a team of data engineers, ETL developers, and analysts; provide technical guidance and code reviews

Optimize query performance, ETL workflows, and database tuning for large-scale datasets

Implement automation and data processing solutions using Python to improve efficiency and reduce manual effort

Manage data migration, integration, and modernization initiatives, including cloud-based data platforms

Coordinate with DevOps and infrastructure teams for deployment, CI/CD, and environment management

Establish and monitor KPIs, SLAs, and data pipeline health metrics

Provide leadership in data strategy, governance, and roadmap planning aligned with organizational goals

Communicate technical solutions and insights effectively to both technical and non-technical stakeholders

Nice Add-ons (if needed for JD completeness)

Minimum Qualifications:

Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field

8+ years of experience in data warehousing, ETL, and BI solutions

Strong expertise in Informatica (PowerCenter, IDMC), SQL, and data modeling

Hands-on experience with Tableau, Power BI, or MicroStrategy

Proficiency in Python for data engineering and automation