Data Architect

Position Overview

Key Responsibilities

Data Architecture & Integration

• Architect end-to-end data flow frameworks integrating SAP S/4HANA, BRIM, Datasphere, and GCP BigQuery.
• Design and implement replication flows and delta extraction frameworks leveraging SAP Datasphere and ABAP SDK toolkit.
• Define robust data integration standards across SAP BTP HANA Cloud, SAC, and BigQuery environments.
• Establish data lineage, metadata, and governance models ensuring compliance, performance, and scalability.

SAP Datasphere & BTP Enablement

• Lead SAP Datasphere workspace design, connection setup, and replication flow enablement.
• Manage BTP subaccounts, service instances, and connectivity with on-premise and cloud SAP systems.
• Integrate SAP BTP HANA Cloud for real-time data transformation, harmonization, and analytics orchestration.
• Configure and manage SAP Cloud Connector for secure hybrid connectivity across systems.

SAP HANA & Data Modeling

• Develop HANA calculation views, CDS views, and SQLScript logic for complex data transformations.
• Optimize data models for analytical performance, partitioning, and query execution in HANA Cloud and BigQuery.
• Implement replication and virtualization patterns using HANA smart data access / smart data integration.
• Collaborate with BASIS teams on memory optimization, query performance, and load balancing.

Analytics, Planning & Predictive Intelligence

• Lead end-to-end delivery of SAP Analytics Cloud (SAC) – both Analytics and Planning workstreams.
• Build interactive dashboards, planning models, and predictive simulations integrated with Datasphere and BigQuery datasets.
• Develop predictive analysis scenarios combining SAC Predictive capabilities and BigQuery ML models.
• Ensure KPIs, forecasts, and insights are aligned with executive and operational reporting needs.

SAP Business Data Cloud (BDC) Integration

• Architect and operationalize SAP BDC (Business Data Cloud) for cross-platform data management.
• Integrate BDC with SAP Datasphere and BTP HANA Cloud for advanced data federation and analytics use cases.
• Enable data lakehouse connectivity to support hybrid SAP + non-SAP datasets for analytics and AI consumption.
• Define data pipelines and monitoring mechanisms ensuring end-to-end data consistency and traceability.

Cloud Integration (GCP & BTP)

• Design and implement hybrid data architecture between SAP BTP and Google Cloud BigQuery.
• Work with GCP architects to optimize BigQuery schema design, cost control, and query performance.
Utilize ABAP SDK toolkit for SAP
• BigQuery delta replication scenarios.
• Establish API filters, monitoring, and failover mechanisms to ensure resilience and scalability.

Technical Leadership & Collaboration

• Act as technical lead for all SAP-to-Cloud data initiatives across BTP, Datasphere, and BigQuery.
• Collaborate closely with SAP BASIS, Security, and Application teams to ensure compliance and reliability.
• Perform root cause analysis (RCA) for replication or data performance issues and implement proactive resolutions.
• Mentor developers and analysts in modern SAP cloud data architectures, SAC analytics, and predictive modeling.

Required Skills & Expertise

Preferred Qualifications

• Prior experience in Telecom / Finance / Billing (SAP BRIM) environments.
Proven success in SAP
• GCP integration leveraging Datasphere and BTP.
• Exposure to S/4HANA upgrades, N+1 landscapes, and AI/ML integration in SAP data ecosystems.
• SAP certifications in Datasphere, BTP HANA Cloud, or SAC Analytics & Planning.
• Familiarity with SAP Joule AI and SAP Predictive Planning frameworks.

Soft Skills

• Strong analytical and problem-solving mindset.
• Excellent communication and leadership skills.
• Ability to manage multi-stakeholder engagements across SAP, Infra, and Cloud teams.
• Experience working in Agile delivery models (Scrum/Kanban via Jira).