Power BI Architect

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

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