BI Architect

ILink Digital

Not Interested
Bookmark
Report This Job

profile Job Location:

Pune - India

profile Monthly Salary: INR 3500000 - 3500000
profile Experience Required: 10years
Posted on: 6 hours ago
Vacancies: 1 Vacancy

Job Summary


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

  • 10 years in Data/Analytics with 5 years in BI architecture

  • Strong experience with:

    • Power BI / Tableau / Qlik / Looker

    • Enterprise Data Warehousing

    • Semantic Models / Tabular Models

  • Expertise in Dimensional Modeling Kimball/Inmon methodologies

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

  • BI performance tuning

  • Security implementation

  • Data governance alignment

  • Dashboard & reporting standards


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

  • Ownership mindset

  • Executive communication

  • Analytical & design thinking

  • Collaboration & leadership




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. ...
View more view more

Company Industry

IT Services and IT Consulting

Key Skills

  • Accounts Receivable
  • Brand Management
  • Apache Web Server
  • High School
  • HSSE