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Databricks Technical Architect
ICT
Company shared salary
NA
Market rate
10,833 CAD–15,000 CAD/mo (129,996 CAD–180,000 CAD/yr)
Based on similar roles (title + domain + location).
About the Company
Position Overview We are seeking a Databricks Architect to lead the data and analytics architecture supporting Finance processes across the enterprise. This role will bridge Finance business processes, SAP/ERP data, Databricks, enterprise data architecture, and AI/analytics. The architect will work closely with Finance process owners, data engineers, integration architects, enterprise architects, and technology teams to define and implement a scalable data foundation for Financial Shared Services. The ideal candidate combines strong Databricks and modern data platform expertise with a solid understanding of Finance processes, SAP financial data, data governance, and enterprise integration.
About the Role
ricks Architect rather than a purely hands-on Databricks engineer.
Responsibilities
- ● Financial Shared Services Data Strategy
- ● Partner with Finance Shared Services leadership and process owners to understand business processes, pain points, KPIs, and data requirements.
- ● Translate Finance business requirements into comprehensive data architecture and roadmap.
- ● Define data products and analytical capabilities supporting areas such as:
- ● Accounts Payable
- ● Accounts Receivable
- ● General Ledger
- ● Record-to-Report
- ● Procure-to-Pay
- ● Order-to-Cash
- ● Fixed Assets
- ● Intercompany Accounting
- ● Cash Management
- ● Financial Close
- ● Working Capital
- ● Identify opportunities to use data, analytics, automation, and AI to improve Finance Shared Services efficiency and decision-making.
- ● Databricks Architecture
- ● Define and lead the implementation of scalable Databricks Lakehouse architecture supporting Finance data and analytics.
- ● Establish architecture patterns for ingestion, transformation, storage, data products, semantic models, and consumption.
- ● Design Bronze/Silver/Gold data layers and establish standards for financial data processing.
Requirements
- ● Strong understanding of SAP data, preferably SAP S/4HANA Finance.
- ● Strong understanding of data governance, security, metadata, lineage, and data quality.
- ● Ability to translate complex business requirements into scalable technical architecture.
- ● Databricks certifications such as Databricks Certified Data Engineer or Data Architect.
- ● Key Competencies
- ● Finance Process Understanding
- ● Databricks & Lakehouse Architecture
- ● SAP Finance Data
- ● Enterprise Data Architecture
- ● Data Governance
- ● Cloud & Integration Architecture
- ● Data Products & Analytics
- ● AI/ML & GenAI Enablement
- ● Stakeholder Management
- ● Architecture Leadership
- ● Success Measures
- ● Success in this role will be measured by the ability to:
- ● Establish a scalable and governed Finance data foundation on Databricks.
- ● Reduce complexity and duplication across Finance data sources.
- ● Create trusted, reusable Finance data products.
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