Role & Responsibilities
We’re looking for an experienced Data Architect to lead enterprise-scale data modernization initiatives leveraging Microsoft Fabric. In this role, you will define the target-state architecture, implement Medallion (Bronze/Silver/Gold) architecture within Fabric Lakehouse, and establish enterprise data governance frameworks. You will also build GenAI-ready data platforms that enable advanced analytics, machine learning, and secure enterprise-wide data access.
Responsibilities:
- Lead enterprise-scale implementation of modern data platforms using Microsoft Fabric
- Design and implement Medallion architecture (Bronze/Silver/Gold)
- Architect scalable Lakehouse, Data Warehouse, and Real-Time Analytics solutions
- Define data modeling standards (Dimensional, Data Vault)
- Establish data governance frameworks including cataloging and lineage
- Build CI/CD pipelines for data platforms
- Design AI/ML and Generative AI-ready architectures
- Build ingestion pipelines (batch, streaming, CDC)
- Enable real-time data processing
- Develop target-state architecture and standards
- Collaborate with cross-functional teams
- Act as a trusted advisor to clients
Ideal Candidate
- Strong Microsoft Fabric / Azure Data Architect profile
- Mandatory (Experience 1) – Must have 8+ years of experience in Data Architecture / Data Engineering, with strong exposure to enterprise-scale data platform modernization initiatives
- Mandatory (Experience 2) – Must have 3+ years of deep hands-on experience in Microsoft Fabric ecosystem including Fabric Lakehouse, OneLake, and Data Factory, with large-scale implementations
- Mandatory (Experience 3) – Strong expertise in designing and implementing Medallion (Bronze/Silver/Gold) architecture and scalable lakehouse platforms supporting batch and real-time workloads
- Mandatory (Experience 4) – Strong experience in Azure data ecosystem including Azure Data Factory, Azure Synapse, ADLS, and Power BI, with good understanding of cloud-native data architectures
- Mandatory (Experience 5) – Proven experience designing scalable data models including Dimensional Modelling (Star/Snowflake) and/or Data Vault for enterprise data warehouses
- Mandatory (Experience 6) – Must have hands-on experience building ingestion pipelines including batch, streaming, and CDC pipelines using tools like Spark, Kafka, or Fabric pipelines
- Mandatory (Experience 7) – Strong experience in implementing data governance frameworks including data cataloging, lineage, metadata management, and security controls
- Mandatory (Skill 1) – Proven experience in building CI/CD pipelines for data platforms using Azure DevOps / Git, including automated deployment and environment management
- Mandatory (Skill 2) – Hands-on experience designing AI/ML-ready data platforms, enabling advanced analytics, machine learning, and Generative AI use cases
- Mandatory (Skill 3) – Experience with orchestration and workflow tools, and integrating data platforms with BI tools like Power BI for enterprise reporting
- Mandatory (Note) – Only immediate joiners (within 15 days) will be considered
- Preferred (Certification) – Microsoft Fabric / Azure certifications; exposure to MDM, data quality frameworks, and enterprise metadata tools
Shubham Vishwakarma
Full Stack Developer - Averlon
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2 Years - 10 Years |
| Function | Information Technology |
| Desired Skills |
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| Education Type | Engineering |
| Degree / Diploma | Bachelor of Engineering, Bachelor of Computer Applications, Any Engineering |
| Specialization / Subject | Any Specialisation |
| Job Type | Full Time |
| Job ID | 000018 |
| Department | Software Development |
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Mentogram is a Singapore-based Edtech startup. Through our B2B2C online mentoring platform we are empowering creators and industry leaders to become online mentors. Our team is growing along with our customer list. We are a crew of growth hackers and tech-geeks who are passionate about helping experts impact the world with their expertise. Let's ride the tide together!
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Full Stack Developer - Averlon