Role: Business Intelligence (BI) Architect
Location:
Experience: 10 Years
Role Type: Full-time
Role Summary
The BI Architect will be responsible for designing architecting and overseeing enterprise BI solutions that enable actionable insights data-driven decision making and scalable analytics platforms. The role demands strong expertise in BI platforms data modeling data integration and performance optimization along with the ability to lead design discussions and collaborate with business and IT stakeholders.
Key Responsibilities
Architecture & Solution Design
Define end-to-end BI architecture standards and best practices
Design enterprise BI/analytics platforms semantic models and reporting frameworks
Architect scalable solutions across Data Warehouse Data Lake and Semantic Layers
Ensure architecture alignment with enterprise roadmap and cloud strategy
Evaluate tools define technology stack and govern design patterns
Data Modeling & Engineering
Lead Dimensional Modeling Star/Snowflake schemas semantic model design
Define data ingestion transformation aggregation strategies
Optimize data pipelines for performance scalability and reliability
Establish metadata management and data lineage standards
Platform & Tool Expertise
Architect and implement BI platforms (Power BI / Tableau / Qlik / Looker)
Establish governance models workspace strategies access control security frameworks
Define self-service BI strategy and enablement
Performance Quality & Governance
Ensure high availability performance optimization query tuning
Define security access control row-level and object-level security
Govern solution quality through standards and best practices
Ensure compliance with data governance and security policies
Stakeholder & Leadership
Work with business stakeholders to translate analytical needs into systems
Collaborate with Data Engineering Cloud and Application teams
Lead BI technical teams review designs mentor developers
Participate in estimation planning and roadmap development
Required Experience & Technical Skills
Core BI Architecture
Data & Integration
SQL expertise
Experience with ETL / ELT tools (ADF SSIS Informatica Talend etc.)
Knowledge of Cloud Data Platforms:
Azure Synapse / Fabric
AWS Redshift
GCP BigQuery
Experience with Data Lakes & Lakehouse concepts
Platform & Governance
Soft Skills
Excellent communication and stakeholder management
Ability to work cross-functionally
Leadership and mentoring capability
Problem solving and structured thinking
Nice to Have
Cloud certifications (Azure / AWS / GCP)
Experience with advanced analytics enablement
Experience in enterprise-scale global environments
Experience with GenAI-driven analytics insights (optional)
Skills Summary BI Architect
Technical Skills
BI Platforms: Power BI / Tableau / Qlik / Looker
Data Platforms: Azure Synapse / Fabric / Redshift / BigQuery / Snowflake
Modeling: Star/Snowflake Semantic models Tabular
ETL/ELT: ADF SSIS Informatica Talend
SQL DAX (if Power BI)
Performance Optimization
Security Architecture
Data Governance integration
Domain & Delivery
Enterprise BI implementation experience
Requirement to architecture translation
Large-scale BI rollout governance
Multi-stakeholder program delivery
Behavioral
Required Skills:
Requirements We are seeking a visionary AI Architect to lead the design development and implementation of cutting-edge AI solutions. The ideal candidate will have a strong background in machine learning data engineering cloud architecture and enterprise-grade solution design. You will collaborate with stakeholders to translate business challenges into scalable AI-driven systems. Key Responsibilities: Lead the design and architecture of AI/ML solutions across the organization. Collaborate with data scientists engineers product owners and business leaders to define AI use cases and deliverables. Define architecture standards and best practices for AI solution development and deployment. Ensure AI models are scalable robust and integrated with existing systems and data platforms. Oversee end-to-end MLOps processes including versioning monitoring and continuous integration/deployment (CI/CD). Evaluate and select AI tools frameworks and technologies aligned with enterprise needs. Stay current on AI/ML trends tools and regulations (including ethical AI practices). Provide technical leadership and mentorship to development teams. Prepare architecture documentation and presentations for stakeholders and leadership. Required Qualifications: Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or related field. Proven experience in architecting AI/ML solutions in cloud environments (AWS Azure or GCP). Deep understanding of machine learning algorithms NLP computer vision and deep learning frameworks (e.g. TensorFlow PyTorch Hugging Face). Strong proficiency in Python and relevant ML libraries. Solid experience with data engineering pipelines data lakes and APIs. Familiarity with MLOps platforms (e.g. MLflow Kubeflow SageMaker Azure ML). Strong knowledge of software architecture patterns and microservices. Excellent communication stakeholder management and documentation skills. Preferred Qualifications: AI/ML certification (e.g. Google Professional ML Engineer AWS Machine Learning Specialty). Experience working in regulated industries (healthcare finance etc.). Familiarity with Generative AI LLMs (like GPT) and Responsible AI principles. Experience in DevOps or Infrastructure as Code (e.g. Terraform Docker Kubernetes).
Required Education:
Any Professional Degree
Role: Business Intelligence (BI) ArchitectLocation:Experience: 10 YearsRole Type: Full-timeRole SummaryThe BI Architect will be responsible for designing architecting and overseeing enterprise BI solutions that enable actionable insights data-driven decision making and scalable analytics platforms. ...
Role: Business Intelligence (BI) Architect
Location:
Experience: 10 Years
Role Type: Full-time
Role Summary
The BI Architect will be responsible for designing architecting and overseeing enterprise BI solutions that enable actionable insights data-driven decision making and scalable analytics platforms. The role demands strong expertise in BI platforms data modeling data integration and performance optimization along with the ability to lead design discussions and collaborate with business and IT stakeholders.
Key Responsibilities
Architecture & Solution Design
Define end-to-end BI architecture standards and best practices
Design enterprise BI/analytics platforms semantic models and reporting frameworks
Architect scalable solutions across Data Warehouse Data Lake and Semantic Layers
Ensure architecture alignment with enterprise roadmap and cloud strategy
Evaluate tools define technology stack and govern design patterns
Data Modeling & Engineering
Lead Dimensional Modeling Star/Snowflake schemas semantic model design
Define data ingestion transformation aggregation strategies
Optimize data pipelines for performance scalability and reliability
Establish metadata management and data lineage standards
Platform & Tool Expertise
Architect and implement BI platforms (Power BI / Tableau / Qlik / Looker)
Establish governance models workspace strategies access control security frameworks
Define self-service BI strategy and enablement
Performance Quality & Governance
Ensure high availability performance optimization query tuning
Define security access control row-level and object-level security
Govern solution quality through standards and best practices
Ensure compliance with data governance and security policies
Stakeholder & Leadership
Work with business stakeholders to translate analytical needs into systems
Collaborate with Data Engineering Cloud and Application teams
Lead BI technical teams review designs mentor developers
Participate in estimation planning and roadmap development
Required Experience & Technical Skills
Core BI Architecture
Data & Integration
SQL expertise
Experience with ETL / ELT tools (ADF SSIS Informatica Talend etc.)
Knowledge of Cloud Data Platforms:
Azure Synapse / Fabric
AWS Redshift
GCP BigQuery
Experience with Data Lakes & Lakehouse concepts
Platform & Governance
Soft Skills
Excellent communication and stakeholder management
Ability to work cross-functionally
Leadership and mentoring capability
Problem solving and structured thinking
Nice to Have
Cloud certifications (Azure / AWS / GCP)
Experience with advanced analytics enablement
Experience in enterprise-scale global environments
Experience with GenAI-driven analytics insights (optional)
Skills Summary BI Architect
Technical Skills
BI Platforms: Power BI / Tableau / Qlik / Looker
Data Platforms: Azure Synapse / Fabric / Redshift / BigQuery / Snowflake
Modeling: Star/Snowflake Semantic models Tabular
ETL/ELT: ADF SSIS Informatica Talend
SQL DAX (if Power BI)
Performance Optimization
Security Architecture
Data Governance integration
Domain & Delivery
Enterprise BI implementation experience
Requirement to architecture translation
Large-scale BI rollout governance
Multi-stakeholder program delivery
Behavioral
Required Skills:
Requirements We are seeking a visionary AI Architect to lead the design development and implementation of cutting-edge AI solutions. The ideal candidate will have a strong background in machine learning data engineering cloud architecture and enterprise-grade solution design. You will collaborate with stakeholders to translate business challenges into scalable AI-driven systems. Key Responsibilities: Lead the design and architecture of AI/ML solutions across the organization. Collaborate with data scientists engineers product owners and business leaders to define AI use cases and deliverables. Define architecture standards and best practices for AI solution development and deployment. Ensure AI models are scalable robust and integrated with existing systems and data platforms. Oversee end-to-end MLOps processes including versioning monitoring and continuous integration/deployment (CI/CD). Evaluate and select AI tools frameworks and technologies aligned with enterprise needs. Stay current on AI/ML trends tools and regulations (including ethical AI practices). Provide technical leadership and mentorship to development teams. Prepare architecture documentation and presentations for stakeholders and leadership. Required Qualifications: Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or related field. Proven experience in architecting AI/ML solutions in cloud environments (AWS Azure or GCP). Deep understanding of machine learning algorithms NLP computer vision and deep learning frameworks (e.g. TensorFlow PyTorch Hugging Face). Strong proficiency in Python and relevant ML libraries. Solid experience with data engineering pipelines data lakes and APIs. Familiarity with MLOps platforms (e.g. MLflow Kubeflow SageMaker Azure ML). Strong knowledge of software architecture patterns and microservices. Excellent communication stakeholder management and documentation skills. Preferred Qualifications: AI/ML certification (e.g. Google Professional ML Engineer AWS Machine Learning Specialty). Experience working in regulated industries (healthcare finance etc.). Familiarity with Generative AI LLMs (like GPT) and Responsible AI principles. Experience in DevOps or Infrastructure as Code (e.g. Terraform Docker Kubernetes).
Required Education:
Any Professional Degree
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