Solution Architect

Strong Understanding of Supply Chain Business Processes and Data

bPROCUREMENT, INVENTORY, LOGISTICS, SUPPLIER MANAGEMENT, COSTING

Must Have Technical/Functional Skills

• 15+ years in data/solution architecture with strong ownership of enterprise‑scale implementations.
• Strong experience designing data warehouses/lake houses, enterprise integration, and analytics platforms.
• Expert in data modeling (dimensional + normalized) and semantic layer design.
• Strong understanding of supply chain business processes and data: procurement, inventory, logistics, supplier management, costing.
• Solid finance integration knowledge: GL mapping, accrual logic, inventory valuation, cost allocations, reconciliation.

• Cloud:
  Azure / AWS / GCP (any one strong; multi‑cloud is a plus)
• Data platforms:
  Snowflake / Databricks / Big Query / Redshift / 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 / Tableau / Looker (semantic + KPI definitions)

This role requires strong data architecture, data modeling, integration design, governance, and hands‑on experience with modern cloud data platforms and analytics.

• Own end‑to‑end data architecture for finance + supply chain analytics, reporting, and operational use‑cases. Define target‑state architecture (lakehouse/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.
• 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).

• 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.

• Master data: vendors, materials/items, locations, cost centers.
• Reference data: currency, UOM, fiscal calendar, shipping terms.
• Hierarchies: product, supplier, org, region.

• Define and implement data governance: ownership, stewardship, definitions, lineage, retention.
• Build data quality frameworks: rules, profiling, anomaly detection, completeness and reconciliation checks.
• Ensure compliance with privacy and security standards (PII/PCI/SOX‑like controls where applicable). Drive processes for data issue management, root cause analysis, and remediation.

• 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).
• Guide design for self‑service analytics and reusable data products.

• 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.

Bachelor of Engineering/Computers

$100,000 - $120,000 a year

BACHELOR OF COMPUTER SCIENCE