SAP FICO & Databricks Architect

We have a position which is suitable to your skillset. Please go through the below JD and let me know your interest.

 

Title                               : SAP FICO & Databricks Architect

Detailed Job Description:
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.
Define approaches for batch and near-real-time data processing.
Establish reusable patterns for data quality, lineage, metadata, security, and governance.
Optimize Databricks workloads for scalability, performance, reliability, and cost.

SAP and Enterprise Data Integration
Architect integration of SAP ECC and other enterprise applications with Databricks.
Understand SAP Finance data structures, including financial accounting, controlling, procurement, assets, and related master data.
Define authoritative sources and data ownership for financial information.
Work with integration teams to establish appropriate patterns using APIs, events, replication, files, and other integration mechanisms.
Ensure financial data remains consistent across SAP, Databricks, reporting platforms, and downstream applications.

Data Products & Analytics
Lead the creation of governed Finance data products that can support reporting, analytics, forecasting, automation, and AI use cases.
Define business and technical metadata for critical financial data.
Establish common definitions for Finance KPIs and metrics.
Enable self-service analytics while maintaining appropriate governance and controls.
Support development of advanced analytics and AI capabilities using trusted financial data.

Data Governance & Controls
Establish data governance standards appropriate for financial data.
Define data ownership, stewardship, lineage, quality rules, retention, and access controls.
Ensure architecture supports financial controls, auditability, traceability, and regulatory requirements.
Implement appropriate security and access models for sensitive financial information.
Partner with Finance data owners to establish data quality and reconciliation processes.