Tech Lead

Data Tech Lead – Supply
Chain Data Engineering
(AWS | GCPAware) Role Type (Contract or C2H) Contract

Experience Level 8+ years

Work Type
(WFO/Hybrid/WFH)
Hybrid

Work Shift Timings 11.30 am to 8.30 pm IST
Location Bangalore
Job Description Role Purpose

Own the technical delivery and data modelling of Supply Chain
data products on AWS, while designing models and
transformations that are configurable and portable toward a future
GCP target state.
Key Responsibilities
 Lead AWSbased data modelling and analytics engineering
for example some of KPI’s:
o OTD endtoend chains
o Inventory multiechelon models
o E&O lifecycle and valuation models
 Own the analytics (DADP) layer on AWS:
o Conformed dimensions
o Fact tables
o KPI marts
 Translate BRDs into cloudportable data models and
transformation logic.
 Guide vendor data engineers to:
o Avoid cloudspecific lockins where unnecessary
o Use configurationdriven patterns over hardcoded
pipelines

 Partner with Solution Architect to:
o Ensure AWS implementations are GCPcompatible
by design
o Validate transformation, orchestration, and storage
abstractions

 Own data quality, reconciliation, and auditability.
Required Experience & Skills
 8+ years in Data / Analytics Engineering
 Strong handson AWS dataengineering experience
(mandatory)
 Experience designing cloudagnostic or multicloudaware
data models
 Working awareness of GCP analytics concepts (Big
Querystyle modelling, separation of storage/compute,
configdriven pipelines)
 Deep Supply Chain domain experience (OTD, Inventory,
E&O)
 Experience leading vendorbased engineering teams
Success Looks Like
 Clean AWS implementations with minimal rewrite risk for

Classification | INTERNAL

GCP
 Vendor teams build once, configure later
 KPIs remain stable across cloud transitions