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.
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Lead the design, development, and implementation of enterprise-level Business Intelligence and data analytics solutions.
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Collaborate with business leaders to gather analytical requirements and translate them into scalable technical solutions.
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Develop and optimize data models, reports, dashboards, and visualizations.
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Oversee BI platform architecture, data integration pipelines, and ETL/ELT processes.
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Ensure high-quality data governance standards, security, and metadata management.
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Mentor BI team members and provide technical oversight on development best practices.
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Manage BI performance tuning, troubleshooting, and continuous system improvements.
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Integrate BI systems with cloud platforms, modern data lakes, and enterprise warehouse technologies.
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Work closely with project managers and stakeholders to ensure timely delivery of BI initiatives.
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Support predictive analytics, KPI frameworks, and business performance reporting.
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Minimum 12+ years of hands-on experience in Business Intelligence, Data Analytics, or related fields.
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Strong experience with modern BI tools such as Tableau, Power BI, Qlik, Looker, or MicroStrategy.
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Expertise in SQL, data modeling, data warehousing concepts, and database systems such as Snowflake, Redshift, Teradata, or SQL Server.
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Proven experience with ETL/ELT tools like Informatica, Talend, DataStage, SSIS, ADF, or dbt.
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Strong understanding of cloud platforms (AWS, Azure, or GCP) and related analytics services.
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Knowledge of Python, R, or scripting technologies is a plus.
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Solid understanding of data governance, master data management, and metadata standards.
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Excellent communication skills with the ability to engage with executives and business stakeholders.
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Leadership experience managing teams or BI development projects.
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Ability to work in a fast-paced, dynamic environment and manage multiple priorities effectively.