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Business Intelligence Architect (Azure Synapse, MS Fabric, Power PI)

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Model N

2mo ago

  • Job
    Full-time
    Senior & Expert Level
  • Data
    Business, Operations & Strategy
  • Hyderabad, +1
  • Quick Apply

AI generated summary

  • You must design large-scale data architectures, develop ETL/ELT pipelines, optimize Azure Synapse and Power BI integrations, enforce data governance, and ensure data quality and performance.
  • You will design data architectures, develop ETL pipelines, integrate Power BI, manage Azure resources, collaborate with teams, enforce governance, and optimize performance in cloud environments.

Requirements

  • Design and implement large-scale data architectures using Azure Synapse Analytics and Microsoft Fabric to support data warehousing, real-time analytics, and big data processing.
  • Develop and maintain data pipelines for ETL/ELT processes, ensuring data quality, security, and integrity.
  • Create data solutions that integrate with Power BI, enabling advanced analytics and reporting across the organization.
  • Build and optimize data pipelines in Azure Synapse to handle high volumes of structured and unstructured data.
  • Design, implement, and optimize distributed data processing solutions using Azure Synapse for large-scale analytics.
  • Manage and maintain Azure Synapse workspaces, Data Lakes, and other associated resources.
  • Leverage Microsoft Fabric for data integration and orchestration across cloud and on-premises environments.
  • Design and implement hybrid data management solutions using Microsoft Fabric to optimize data workflows and business processes.
  • Collaborate with data teams to create reusable data assets and connectors that integrate with various sources and Power BI.
  • Work closely with BI teams to ensure seamless integration between Azure Synapse datasets and Power BI for real-time reporting.
  • Build, optimize, and manage Power BI datasets, ensuring efficient performance for complex reports and dashboards.
  • Support BI developers in designing data models and optimizing DAX queries for Power BI.
  • Collaborate with data scientists, analysts, and business stakeholders to gather requirements and design data solutions that meet evolving business needs.
  • Communicate complex technical concepts and data architectures to non-technical stakeholders in a clear and understandable manner.
  • Implement and enforce data governance policies, ensuring compliance with data privacy, security, and regulatory requirements.
  • Develop and maintain best practices for data engineering, including version control, testing, and documentation.
  • Monitor and optimize data performance, scalability, and cost-efficiency in cloud environments.

Responsibilities

  • Design and implement large-scale data architectures using Azure Synapse Analytics and Microsoft Fabric to support data warehousing, real-time analytics, and big data processing.
  • Develop and maintain data pipelines for ETL/ELT processes, ensuring data quality, security, and integrity.
  • Create data solutions that integrate with Power BI, enabling advanced analytics and reporting across the organization.
  • Build and optimize data pipelines in Azure Synapse to handle high volumes of structured and unstructured data.
  • Design, implement, and optimize distributed data processing solutions using Azure Synapse for large-scale analytics.
  • Manage and maintain Azure Synapse workspaces, Data Lakes, and other associated resources.
  • Leverage Microsoft Fabric for data integration and orchestration across cloud and on-premises environments.
  • Design and implement hybrid data management solutions using Microsoft Fabric to optimize data workflows and business processes.
  • Collaborate with data teams to create reusable data assets and connectors that integrate with various sources and Power BI.
  • Work closely with BI teams to ensure seamless integration between Azure Synapse datasets and Power BI for real-time reporting.
  • Build, optimize, and manage Power BI datasets, ensuring efficient performance for complex reports and dashboards.
  • Support BI developers in designing data models and optimizing DAX queries for Power BI.
  • Collaborate with data scientists, analysts, and business stakeholders to gather requirements and design data solutions that meet evolving business needs.
  • Communicate complex technical concepts and data architectures to non-technical stakeholders in a clear and understandable manner.
  • Implement and enforce data governance policies, ensuring compliance with data privacy, security, and regulatory requirements.
  • Develop and maintain best practices for data engineering, including version control, testing, and documentation.
  • Monitor and optimize data performance, scalability, and cost-efficiency in cloud environments.

FAQs

What is the primary responsibility of a Business Intelligence Architect at Model N?

The primary responsibility is to architect and build scalable data pipelines, data models, and business intelligence solutions using Azure Synapse, Microsoft Fabric, and Power BI.

What specific technologies should candidates be proficient in?

Candidates should have deep expertise in Azure Synapse, Microsoft Fabric, and Power BI.

What type of data architectures will the Business Intelligence Architect be designing?

The Business Intelligence Architect will design large-scale data architectures to support data warehousing, real-time analytics, and big data processing.

Is experience with data governance important for this role?

Yes, implementing and enforcing data governance policies is a crucial part of the responsibilities to ensure compliance with data privacy, security, and regulatory requirements.

Will the role require collaboration with other teams?

Yes, the Business Intelligence Architect will collaborate closely with data scientists, BI analysts, and business stakeholders to gather requirements and design data solutions.

What is the expected outcome of integrating Power BI with Azure Synapse?

The expected outcome is to enable seamless real-time reporting and advanced analytics across the organization.

What kind of data processes will the architect need to develop and maintain?

The architect will develop and maintain data pipelines for ETL/ELT processes, ensuring data quality, security, and integrity.

Are there opportunities for professional growth within the company?

Yes, Model N is constantly growing and may offer further career opportunities in the future, even if the current role is not the right fit.

Does Model N value diversity in the workplace?

Yes, Model N believes in the uniqueness of every individual's diverse backgrounds, experiences, and expertise, which they refer to as the "N Factor."

Where can candidates find more information about job opportunities at Model N?

Candidates can visit the Model N career site at https://www.modeln.com/company/careers/ for more information on job opportunities.

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Model N

Model N enables our life sciences and high-tech customers to deliver life-changing products to the world.

Technology
Industry
501-1000
Employees
1999
Founded Year

Mission & Purpose

Model N is the leader in revenue optimization and compliance for pharmaceutical, medtech and high-tech innovators. Our intelligent platform powers your digital transformation with integrated technology, data, analytics, and expert services that deliver deep insight and control. Our integrated cloud solution is proven to automate pricing, incentive and contract decisions to scale business profitably and grow revenue. Model N is trusted across more than 120 countries by the world’s leading pharmaceutical, medical technology, semiconductor, and high-tech companies, including Johnson & Johnson, AstraZeneca, Stryker, Seagate Technology, Broadcom, and Microchip Technology.