Job Title: Databricks Architect
Location: Remote Opportunity
Duration: 6 Months and ext based on the business needs
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 Finance 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.
Required Qualifications
- Bachelor''''''''s degree in Computer Science, Information Systems, Engineering, Finance, or a related field.
- 8+ years of experience in data architecture, data engineering, enterprise architecture, or related technology roles.
- Strong hands-on architecture experience with Databricks and modern cloud data platforms.
- Strong understanding of Lakehouse architecture, Delta Lake, Spark, SQL, and data engineering patterns.
- Experience designing enterprise-scale data platforms and data products.
- Strong understanding of SAP data, preferably SAP S/4HANA Finance.
- Experience integrating SAP and non-SAP enterprise applications with modern data platforms.
- Strong understanding of data governance, security, metadata, lineage, and data quality.
- Experience working directly with Finance or Financial Shared Services organizations.
- Ability to translate complex business requirements into scalable technical architecture.
Preferred Qualifications
- Databricks certifications such as Databricks Certified Data Engineer or Data Architect.
- Experience with SAP Finance Processes.
- Experience with SAP data replication or integration technologies.
- Experience with Azure, AWS, or Google Cloud Platform.
- Experience with enterprise event-driven architecture and APIs.
- Experience with Power BI or other enterprise analytics platforms.
- Experience implementing AI/ML or GenAI solutions using enterprise data.
- Experience with data mesh, data products, or domain-oriented data architecture.
- Experience supporting financial close, reconciliation, controls, and audit requirements.
- Experience working in large global enterprises with complex Finance organizations.
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 (cut off)
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.
- Improve data quality, reconciliation, and transparency across Financial Shared Services.
- Enable faster delivery of Finance analytics, automation, and AI use cases.
- Establish clear ownership and governance of critical financial data.
- Successfully translate Finance business priorities into an executable technology roadmap.
- Deliver measurable improvements in Finance Shared Services efficiency and decision-making.
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