We are seeking an experienced BI Solutions Architect Lead Specialist Engineer to lead the design, development, and implementation of Business Intelligence solutions. The ideal candidate will have deep expertise in BI architecture, data warehousing, data modeling, analytics platforms, and enterprise reporting capabilities. This role requires strong leadership skills, hands-on technical ability, and experience guiding teams to deliver scalable BI and analytics solutions that support business strategy and informed decision-making.
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Lead the architecture, design, and delivery of enterprise-level Business Intelligence and data analytics solutions.
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Work closely with business stakeholders to define BI strategy, reporting needs, and data integration requirements.
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Architect, design, and manage data warehouse solutions including ETL pipelines, data models, and metadata frameworks.
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Evaluate and recommend BI tools, data platforms, modeling approaches, and architectural best practices.
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Oversee end-to-end technical solution delivery including planning, execution, and optimization.
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Drive standardization and governance around data quality, consistency, performance, and security.
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Collaborate with cross-functional teams including data engineers, developers, analysts, and enterprise architects.
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Lead performance tuning, testing, migration, and infrastructure optimization for BI platforms.
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Provide leadership, mentorship, and technical guidance to engineering and analytics teams.
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Ensure alignment of BI solutions with business goals, scalability needs, and future-state architecture.
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Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or equivalent field.
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12+ years of professional experience working in Business Intelligence, Data Engineering, or Analytics roles.
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Strong experience designing enterprise BI architectures and data warehouse solutions.
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Hands-on experience with BI tools such as Power BI, Tableau, Qlik, Looker, or MicroStrategy.
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Strong understanding of ETL frameworks and tools such as Informatica, Talend, DataStage, SSIS, or ADF.
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Expertise in SQL and data modeling, including star schema, dimensional modeling, and OLAP concepts.
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Practical experience with cloud platforms such as AWS, Azure, or Google Cloud data services.
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Good knowledge of data governance, data security, and master data management practices.
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Proven track record of leading technical teams and large-scale BI transformation projects.
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Excellent analytical, communication, and stakeholder management skills.