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# Power BI Architect

- **Company:** VDart, Inc.
- **Location:** Wilmington, DE, United States (Remote available)
- **Experience:** Expert
- **Salary:** $89,565.0 - $149,261.0
- **Contract:** Permanent contract
- **Skills:** Third Normal Form, Application Programming Interfaces (APIs), Airflow, Amazon S3, Business Analytics Applications, Data Analysis, Microsoft Azure, Cloud Computing, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Vault Modeling, Desktop Computing, Identity and Access Management, Metadata, Performance Tuning, Reference Data, Power BI, Data Streaming, Parquet, Data Logging, Data Ingestion, Sql Optimization, Delivery Pipeline, Indexer, Collibra, Enterprise Integration, Integration Frameworks, Data Management, Physical Data Models, Api Design, SailPoint, Stream Analytics, Data Pipelines
- **Published:** October 4, 2026
- **Apply:** https://www.careerjet.com/jobad/us7ab9b1c942c85fc2a1311de0f70c2115

## About the Role

10+ years in data/solution architecture with strong ownership of enterprise-scale implementations.
Strong experience designing data warehouses/lake houses, enterprise integration, and analytics platforms.
Strong in data modeling (dimensional + normalized) and semantic layer design.
Strong understanding of business processes and data:
Commercial operations , Logistics: shipment tracking, carrier costs, delivery performance
procurement, inventory, logistics, supplier management, costing
Cloud & Data Tech Stack (choose based on your environment)
Cloud: Azure
Data platforms: Fabric / Synapse
Data integration: Informatica / ADF / Fivetran / dbt / Airflow (any relevant)
Storage & formats: Parquet/Delta/Iceberg; S3/ADLS/GCS
Querying: advanced SQL; performance tuning; data partition strategies
Data governance: Collibra / Purview / Alation (or equivalent)
BI/Analytics: Power BI (data modeling, DAX, performance tuning, semantic layer design, governance, deployment pipelines)
This role requires strong data architecture, data modeling, integration design, governance, and hands-on experience with modern cloud data platforms and analytics.
Design semantic models in Power BI for enterprise-wide reuse, ensuring consistent KPI definitions.
Hands-on experience in DAX optimization, performance tuning, composite models, and security (RLS/OLS).
Implement workspace architecture, deployment pipelines, and governance best practices in Power BI.
Experience with real-time analytics, event streams, and near real-time dashboards for operational insights., Bachelor of Engineering/Computers

## Description

Masters in PowerBI, Finance Solution Data Architect with deep expertise in Supply Chain data and its intersection with Finance (Procure-to-Pay, Inventory Accounting, Costing, CapEx/OpEx, Vendor Spend Analytics).
The architect will lead the design of scalable data solutions that unify supply chain and finance data across ERP, procurement, logistics, inventory, and billing systems-enabling accurate reporting, forecasting, compliance, and operational insights.
Data Architecture & Solution Design
Own end-to-end data architecture for finance + supply chain analytics, reporting, and operational use-cases.
Define target-state architecture (lake house/warehouse, streaming, APIs, metadata) aligned to enterprise standards.
Design robust data ingestion and integration patterns (batch/stream, CDC, API-based, file-based).
Ensure architecture supports auditability, reconciliation, and financial controls (traceability from source to report).
Supply Chain + Finance Domain Alignment
Architect domain-aligned datasets for:
Procure-to-Pay (P2P): requisitions, purchase orders, invoices, payments
Inventory & Warehousing: receipts, transfers, adjustments, stock valuation
Costing: standard/actual costing, landed cost, freight, BOM where relevant
Vendor & Spend: vendor master, contracts, pricing, spend categorization
Logistics: shipment tracking, carrier costs, delivery performance
Enable integration between supply chain events and finance outcomes (e.g., GR/IR, accruals, capitalization, write-offs).
Data Modeling & Semantics
Create and maintain conceptual, logical, and physical data models (3NF, dimensional, Data Vault as applicable).
Define canonical models and enterprise semantic layers for KPI consistency.
Establish best practices for:
Master data (vendors, materials/items, locations, cost centers)
Reference data (currency, UOM, fiscal calendar, shipping terms)
Hierarchies (product, supplier, org, region)
Platform & Engineering Collaboration
Partner with data engineering teams to implement:
ETL/ELT pipelines, orchestration, CI/CD, environment management
Performance tuning, partitioning, indexing, clustering strategies
Observability (logging, monitoring, SLA/SLI, cost optimization)
Enable governed self-service analytics through reusable datasets and thin-report architecture.
Generic Managerial Skills, If any
Stakeholder Management & Delivery
Engage Finance, Supply Chain, Procurement, and IT stakeholders to translate needs into architecture.
Lead architecture reviews, technical documentation, and implementation roadmaps.
Work with program/product managers to define scope, milestones, dependencies, and risk mitigation, Role: IAM AI Automation Engineer/Architect - AI Enablement and SailPoint Location: Wilmington, DE / Manassas, VA / 100% REMOTE ( EST/CST ONLY) Duration: 1+ years MoI: Video…

 + 15 days ago


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