Senior Platform Architect - Microsoft Azure Fabric (Immediate Joiner)

Posted Yesterday
Be an Early Applicant
Hiring Remotely in India
Remote
1M-5M Annually
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Lead design and implementation of an enterprise data platform on Microsoft Fabric. Own architecture (OneLake, Lakehouse, Data Warehouse, Data Factory, Power BI), implement CI/CD and IaC, enforce governance and security, optimize performance and cost, migrate legacy platforms, build monitoring/observability, and mentor engineering teams on DevOps and cloud data engineering best practices.
Summary Generated by Built In

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟭𝟭𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟭-𝟱𝟬 𝗟𝗣𝗔)

Experience: 9+ yrs

Location: Remote (India)

We are seeking a highly experienced Senior Platform Architect – Microsoft Fabric to lead the design, implementation, and evolution of a modern enterprise data platform built on Microsoft Fabric. This role is ideal for professionals who enjoy solving complex data engineering challenges, building scalable cloud-native architectures, and driving platform excellence through automation, governance, and DevOps best practices.

As a Senior Platform Architect, you will own the end-to-end architecture of a unified data ecosystem, leveraging Microsoft Fabric capabilities such as OneLake, Data Factory, Data Engineering, Data Warehousing, Real-Time Analytics, and Power BI. Working closely with engineering, analytics, and business stakeholders, you will establish scalable development standards, implement robust CI/CD pipelines, optimize platform performance, and ensure secure, governed, and cost-efficient data operations. This is a hands-on technical leadership role that combines strategic architecture with active implementation and mentoring.


RequirementsKey Responsibilities
  • Design and own the end-to-end Microsoft Fabric platform architecture, including OneLake, Lakehouse, Data Warehouse, Data Factory, Real-Time Analytics, and Power BI.
  • Build scalable, secure, and high-performing data platforms using modern cloud-native architecture principles and medallion data models.
  • Define and implement DevOps practices, including Git integration, CI/CD pipelines, automated deployments, testing, and environment management.
  • Develop reusable infrastructure, deployment templates, and automation frameworks using Infrastructure-as-Code (IaC) practices.
  • Establish governance, security, access controls, and compliance standards across Microsoft Fabric environments.
  • Optimize platform performance, workload management, and capacity utilization while driving cost governance and operational efficiency.
  • Collaborate with data engineers, analytics teams, and business stakeholders to define scalable development standards and architectural best practices.
  • Lead migration initiatives from legacy data platforms to Microsoft Fabric while ensuring minimal disruption and maximum reliability.
  • Build monitoring, observability, alerting, and incident response processes to maintain platform availability and performance.
  • Mentor engineering teams on Microsoft Fabric architecture, DevOps methodologies, cloud engineering best practices, and platform operational excellence.
What Makes You a Great Fit
  • 9+ years of experience in Data Platform Architecture, Cloud Engineering, DevOps, or Enterprise Data Engineering.
  • Strong hands-on expertise with Microsoft Fabric, including OneLake, Data Factory, Lakehouse, Data Warehouse, Power BI, and Real-Time Analytics.
  • Proven experience designing scalable enterprise data platforms on Microsoft Azure with modern cloud architecture principles.
  • Strong knowledge of DevOps, Git-based workflows, CI/CD pipelines, Infrastructure-as-Code, and deployment automation using Azure DevOps or GitHub Actions.
  • Deep understanding of data lake architectures, Delta Lake, medallion architecture, data governance, security, and access management.
  • Experience optimizing Microsoft Fabric capacity, performance, cost management, and workload monitoring.
  • Proficiency in technologies such as PySpark, Spark SQL, Python, T-SQL, or KQL for data engineering and platform development.
  • Experience integrating Microsoft Fabric with Azure services, APIs, automation platforms, and enterprise applications.
  • Strong communication, stakeholder management, and technical leadership skills with the ability to translate complex architecture into practical business solutions.
  • Microsoft Fabric, Azure Data Engineering, or Azure Architecture certifications, along with experience in regulated enterprise environments, will be considered a strong advantage.

Skills Required

  • 9+ years of experience in Data Platform Architecture, Cloud Engineering, DevOps, or Enterprise Data Engineering
  • Hands-on expertise with Microsoft Fabric, including OneLake, Data Factory, Lakehouse, Data Warehouse, Power BI, and Real-Time Analytics
  • Experience designing scalable enterprise data platforms on Microsoft Azure
  • Knowledge of DevOps, Git-based workflows, CI/CD pipelines, and deployment automation using Azure DevOps or GitHub Actions
  • Experience with Infrastructure-as-Code and creating reusable deployment templates and automation frameworks
  • Understanding of data lake architectures, Delta Lake, medallion architecture, data governance, security, and access management
  • Experience optimizing platform capacity, performance, cost management, and workload monitoring in Microsoft Fabric
  • Proficiency in PySpark, Spark SQL, Python, T-SQL, or KQL for data engineering and platform development
  • Experience integrating Microsoft Fabric with Azure services, APIs, automation platforms, and enterprise applications
  • Experience leading migrations from legacy data platforms to Microsoft Fabric
  • Strong communication, stakeholder management, technical leadership, and mentoring skills
  • Microsoft Fabric, Azure Data Engineering, or Azure Architecture certifications
  • Experience in regulated enterprise environments
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

Similar Jobs

Weekday, Inc. Logo Weekday, Inc.

Architect

Artificial Intelligence • HR Tech • Professional Services • Software
Remote
India
1M-5M Annually

Coupa Logo Coupa

Principal Product Manager

Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
In-Office or Remote
Pune, Maharashtra, IND
3000 Employees

CrowdStrike Logo CrowdStrike

Infrastructure Engineer

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
India
11000 Employees

Atlassian Logo Atlassian

Sales Development Representative

Cloud • Information Technology • Productivity • Security • Software • App development • Automation
In-Office or Remote
Bengaluru, Bengaluru Urban, Karnataka, IND
11000 Employees

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account