Job Title: Azure Developer
Location: Washington, DC
Hybrid Onsite: 4 Days onsite per week from Day 1
Premium Skills:
- Azure Cloud Services (PaaS and IaaS)
- SAP APO, SAP Fiori, SAP BPC, S/4 HANA
Required Qualifications:
- 5+ years of experience in data engineering, with a focus on Azure Databricks
- Strong understanding of data modeling for planning and forecasting
- Experience with SAP BPC, including data structures, logic scripts, and planning process flows
- Hands-on experience with Azure services: ADLS Gen2, Data Factory, Synapse, Key Vault, etc.
- Ability to translate legacy planning logic into modern, modular, and scalable data pipelines
- Experience working with cloud-based planning tools or their integration patterns
- Proficient in Python, SQL, and version control (e.g., Git)
- Strong analytical and communication skills
Preferred Qualifications:
- Experience in finance, FP&A, or enterprise performance management (EPM) domain
- Prior involvement in BPC migration projects or cloud planning platform implementations
- Familiarity with cloud-based FP&A tools
Key Responsibilities:
- Analyze current SAP BPC data models, processes, and integration points
- Design and implement scalable ETL/ELT pipelines in Azure Databricks to support data extraction, transformation, and delivery to the new planning platform
- Collaborate with SAP teams to extract actuals, plans, forecasts, and master data from SAP BPC (NetWeaver or MS version)
- Translate BPC logic (scripts, transformations, allocations) into Databricks-based data models and logic
- Ensure accurate and timely data delivery from Databricks to the new cloud planning platform via APIs, flat files, or direct connectors
- Create reusable frameworks for data quality, lineage, and reconciliation
- Partner with solution architects and planning platform experts to ensure smooth integration and alignment
- Document technical solutions and support knowledge transfer to internal teams
- Ensure security, compliance, and performance best practices are followed across the data stack