Power BI Architect - Local TO Wilmington, DE

Duration: 6 months

Location: Wilmington, DE 5 days/wk at client site.

C2P

Pre-Qualifying Questions:

1. Do you have 10+ years in data/solution architecture with strong ownership of enterprise-scale implementations?
2. Do you have Strong experience designing data warehouses/lake houses, enterprise integration, and analytics platforms?

Skills:

• Solution Architecture
• Cloud & Data Tech Stac

Job Description

Must Have Technical/Functional Skills:

• 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/ADLSS
• 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.

Roles & Responsibilities:

• 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

Education

Bachelor of Engineering/Computers

Deliverables:

• Process Flows
• Mentor and Knowledge transfer to client project team members
• Participate as primary, co and/or contributing author on any and all project deliverables associated with their assigned areas of responsibility
• Participate in data conversion and data maintenance
• Provide best practice and industry specific solutions
• Advise on and provide alternative (out of the box) solutions
• Provide thought leadership as well as hands on technical configuration/development as needed.
• Participate as a team member of the functional team
• Perform other duties as assigned.