Microsoft Fabric Data Architect C2C requirements Remote

Role:- Microsoft Fabric Data Architect

Remote

4 months + Extension

 

Need immediate joiner to the project

 

Role Overview

 

• Lead the design and implementation of end‑to‑end Microsoft Fabric data architecture.
• Drive development of a lakehouse-based data platform using Bronze, Silver, and Gold layers.
• Oversee data ingestion, transformation, and integration from multiple sources (Postgres, APIs).
• Act as a technical leader and architect, ensuring scalable, reliable, and high‑quality data solutions.
• Translate business requirements into data models, data products, and architecture decisions.
• Enable adoption through knowledge transfer, best practices, and reusable frameworks.

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Responsibilities

Technical Leadership & Architecture

• Design end‑to‑end data architecture in Microsoft Fabric.
• Define ingestion frameworks for:
• AutoLeap (Postgres, partner APIs)
• Establish Bronze, Silver, and Gold data layers (medallion architecture).
• Define lakehouse strategy and semantic data models.
• Set standards for:
• Change data capture (CDC) and incremental loads
• Global identifiers (customer, vehicle, store)
• Data quality, auditing, and reconciliation

 

Data Integration & Engineering

• Oversee development of:
• Data pipelines (Fabric Pipelines, Notebooks)
• Data staging, transformations, and conformance
• Consolidate multiple data sources (ICDB, DME) into a unified lakehouse.
• Ensure outbound data feeds meet requirements for:
• Power BI reporting
• External partners (e.g., RRD)
• Internal systems (SAP, Oracle, Business Center)

 

Requirements & Mapping

• Lead structured requirements gathering with stakeholders.
• Translate business requirements into:
• Canonical POS data models
• Gold layer data products
• Validate and align mappings with source systems (AutoLeap schemas).

 

Testing & Quality Assurance

• Define and execute:
• Data completeness and validation checks
• Reconciliation with legacy systems (ICDB/DME)
• Performance and refresh SLAs
• Develop formal:
• Test plans
• Acceptance criteria

 

Knowledge Transfer & Enablement

• Train and mentor internal teams by:
• Pairing during design and development
• Explaining architectural decisions
• Documenting patterns and standards
• Build and handover:
• Reusable frameworks
• Best practices for sustained operations

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Qualifications we seek in you!

Minimum Qualifications

 

• Graduation: B.Tech/B.E, MBA/MCA

 

Preferred Skills:

Core Technical Skills

• Strong hands‑on experience with:
• Microsoft Fabric (Lakehouse, Pipelines, Notebooks)
• Spark / PySpark
• Semantic models and Power BI integration
• Expertise in modern data architecture (lakehouse, medallion patterns).
• Experience in data migration and system-of-record transitions.

 

Data & Domain Expertise

• Experience with transaction-heavy systems (POS, retail, automotive, or similar).
• Strong background in:
• API-based data ingestion
• Relational databases (Postgres preferred)
• Ability to design data products for:
• Internal analytics
• External data sharing with partners

 

Leadership & Delivery Skills

• Ability to work in ambiguity and define clear execution paths.
• Experience acting as:
• Solution Architect
• Technical Lead
• Mentor and trainer
• Strong stakeholder management and communication with:
• Engineering teams
• Business stakeholders
• Analytics users

 

Mukesh Singh Sr.  Associate