For one of our clients, I'm looking for a Digital Sales – Data Integration & BI Architect to lead the design and implementation of a unified digital sales data and dashboard ecosystem. In this role, you'll integrate key business platforms (eCommerce, CRM, analytics, CX tools, pricing systems) into a scalable data model and deliver high-performance Power BI dashboards that drive business decision-making.

Key Responsibilities

Design and implement the data architecture connecting eCommerce, CRM, analytics, CX, and pricing systems
Build and manage data pipelines using APIs and ETL/ELT processes
Define real-time vs batch data flows aligned with business needs
Ensure secure handling of customer-level data and compliance requirements
Build scalable data models at customer-level, funnel-level, and policy-level
Establish a Single Source of Truth (SSOT) across all reporting
Standardize data structures and naming conventions across systems
Develop Power BI dashboards from scratch (datasets, measures, logic)
Ensure dashboards are scalable, automated, and high-performing
Enable drill-down capabilities across key segments (e.g., channel, customer type, funnel stage)
Define and implement validation rules, monitoring, and governance frameworks
Maintain accuracy, consistency, and reliability across integrated sources
Troubleshoot data issues and coordinate resolution with IT teams
Performance Optimization & Maintenance
Optimize dashboard speed and data refresh performance
Drive ongoing enhancements and scalability of the data environment
Maintain documentation for data architecture, pipelines, and data flows

Requirements

7–12+ years in Data Engineering / BI / Data Architecture
Proven experience integrating multiple systems (CRM, analytics, CX tools, backend systems)
Strong hands-on experience with Power BI end-to-end development
Experience with APIs and ETL tools (e.g., Azure Data Factory or similar)
Experience in digital business / eCommerce environments (preferred)
Advanced SQL
Data modeling
ETL / ELT processes
API integrations
Data warehousing concepts