Manager

Heres a sample Business Intelligence (BI) Architecture job description , suitable for roles such as BI Architect, BI Solutions Architect, or BI Technical Lead. This description can be customized based on the company s tools, industry, and seniority level. Job Title: Business Intelligence (BI) Architect Location: Noida Department: CX-COE Reports To: AVP - Analytics Type: Full-time Job Summary: We are seeking a skilled and experienced Business Intelligence (BI) Architect to lead the design, development, and implementation of BI solutions across the organization. This role will define the architecture for data integration, data warehousing, and reporting tools, ensuring scalable, secure, and high-performance BI infrastructure that meets business needs. Key Responsibilities: Design and implement BI architecture and data models (eg, star schema, snowflake schema) to support reporting and analytics. Define and develop ETL (Extract, Transform, Load) processes to consolidate data from various sources into a central data warehouse or data lake. Evaluate and select BI platforms, tools, and technologies (eg, Power BI, Tableau, Looker, Qlik, Azure Synapse, AWS Redshift, Snowflake). Develop and enforce data governance, data quality, and metadata standards. Collaborate with business analysts, data engineers, and stakeholders to understand reporting requirements and translate them into technical solutions. Optimize existing BI systems and develop new dashboards, reports, and KPIs that drive business decisions. Ensure scalability, performance, and security of BI architecture. Lead or contribute to data modernization and cloud migration initiatives. Qualifications: Bachelors or Masters degree in Computer Science, Information Systems, Data Science, or a related field. 5+ years of experience in BI development and architecture, with a strong understanding of data modeling and analytics. Expertise in BI tools (eg, Power BI, Tableau, QlikView). Proficient in SQL and data integration tools (eg, SSIS, Informatica, Talend). Experience with cloud platforms such as AWS, Azure, or GCP. Strong knowledge of data warehousing concepts and technologies (eg, Snowflake, Redshift, BigQuery). Familiarity with data governance frameworks and security best practices. Excellent communication and stakeholder management skills. Preferred Qualifications: Experience with scripting languages logics for data manipulation and automation. Knowledge of machine learning pipelines and predictive analytics integration with BI tools. Certifications in BI or cloud platforms (eg, Microsoft Certified: Power BI developer or any other certificate). What We Offer: Competitive salary and benefits Opportunities for professional growth and development Dynamic and inclusive work environment Flexible work arrangements (hybrid/remote options)