Description

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

Key Skills

Education

Bachelor's degree