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Lead Data Architect – Microsoft Fabric

Key Facts

Remote From: 
Category:  Data Architect
Full time
Senior (5-10 years)
English

Other Skills

  • Leadership
  • Communication
  • Mentorship

Roles & Responsibilities

  • Graduation: B.Tech/B.E, MBA/MCA
  • Strong hands-on experience with Microsoft Fabric (Lakehouse, Pipelines, Notebooks)
  • Expertise in modern data architecture (lakehouse, medallion patterns)
  • Experience with transaction-heavy systems (POS, retail, automotive, or similar)

Requirements:

  • 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

Job description

Lead Data Architect – Microsoft Fabric
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.

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
.


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

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