Power BI Architect

Term:
Contract

• 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, Cap Ex/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.
• 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).

• 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
• Logistics: shipment tracking, carrier costs, delivery performance
• Enable integration between supply chain events and finance outcomes (e.g., GR/IR, accruals, capitalization, write-offs).
• 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:
• Reference data (currency, UOM, fiscal calendar, shipping terms)

• Partner with data engineering teams to implement:
• 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.

• 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
• Cloud & Data Tech Stack (choose based on your environment)
• Data platforms:
  Fabric / Synapse
• Data integration:
  Informatica / ADF / Fivetran / dbt / Airflow (any relevant)
• Querying: advanced SQL; performance tuning; data partition strategies
• 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.

• 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