Business Intelligence Lead Engineer

Job Title : Business Intelligence Lead Engineer

Location : Cary North Carolina

Experience Required : 12 Years

Employment Type : Contract

Interview Type : In-Person or Webcam

Job Description

We are seeking an experienced Business Intelligence Lead Engineer to drive enterprise BI solutions and data-driven decision-making. The ideal candidate will lead BI strategy architecture technical design and development of analytics platforms while working closely with business stakeholders and cross-functional teams. This role requires strong hands-on expertise in data warehousing reporting tools and cloud-based BI systems.

The candidate should be able to manage end-to-end BI initiatives provide technical leadership enhance data accessibility ensure performance optimization and support advanced analytics initiatives.

Key Responsibilities

Lead the design development and implementation of enterprise-level Business Intelligence and data analytics solutions.

Collaborate with business leaders to gather analytical requirements and translate them into scalable technical solutions.

Develop and optimize data models reports dashboards and visualizations.

Oversee BI platform architecture data integration pipelines and ETL / ELT processes.

Ensure high-quality data governance standards security and metadata management.

Mentor BI team members and provide technical oversight on development best practices.

Manage BI performance tuning troubleshooting and continuous system improvements.

Integrate BI systems with cloud platforms modern data lakes and enterprise warehouse technologies.

Work closely with project managers and stakeholders to ensure timely delivery of BI initiatives.

Support predictive analytics KPI frameworks and business performance reporting.

Required Skills and Qualifications

Minimum 12 years of hands-on experience in Business Intelligence Data Analytics or related fields.

Strong experience with modern BI tools such as Tableau Power BI Qlik Looker or MicroStrategy.

Expertise in SQL data modeling data warehousing concepts and database systems such as Snowflake Redshift Teradata or SQL Server.

Proven experience with ETL / ELT tools like Informatica Talend DataStage SSIS ADF or dbt.

Strong understanding of cloud platforms (AWS Azure or GCP) and related analytics services.

Knowledge of Python R or scripting technologies is a plus.

Solid understanding of data governance master data management and metadata standards.

Excellent communication skills with the ability to engage with executives and business stakeholders.

Leadership experience managing teams or BI development projects.

Ability to work in a fast-paced dynamic environment and manage multiple priorities effectively.

Key Skills

Business Intelligence,Cognos,SQL,Power BI,QlikView,Data Visualization,ssrs,Tableau,SSIS,Data Modeling,Data Warehouse,Data Analysis Skills

Experience : years

Vacancy : 1