SAP Analytics Cloud BDC Architect

📌 Job Description: SAP Business Data Cloud (BDC) & SAC Architect Job Title: SAP Business Data Cloud (BDC) & SAP Analytics Cloud (SAC) Architect Location: Hyderabad (EFO) Employment Type: [Full-time / Contract] Experience: 10+ years ⭐ Job Description – Senior Data Architect (SAC + Datasphere + Business Data Cloud) – 10+ Years Role Overview We are seeking a highly experienced Senior Data Architect / Lead Analytics Engineer with deep expertise in SAP Analytics Cloud (SAC), SAP Datasphere, and modern Business Data Cloud platforms. The ideal candidate will have 10+ years of experience designing enterprise-scale data architectures, building analytics solutions, and delivering cloud-based data modernization projects. This role requires strong hands-on technical capability, solution design skills, and leadership in driving data strategy, governance, and integration across cloud & SAP ecosystems. 🔍 Key Responsibilities 1. SAP Analytics Cloud (SAC) Design and deliver SAC stories, dashboards, and planning models Build advanced calculation views, models, KPIs, and analytical queries Integrate SAC with Datasphere, S4/HANA, BW/4HANA, and other SAP sources Implement SAC Planning, forecasting, predictive models Manage lifecycle: modeling → story design → deployment → optimization 2. SAP Datasphere / SAP Data Warehouse Cloud Architect and manage Datasphere layers (data builder, business builder, analytic models) Build data pipelines, federated access, and harmonized semantic models Integrate Datasphere with: S/4HANA BW/4HANA Snowflake Databricks Azure/AWS/GCP ecosystems Optimize performance, governance, security, and data lineage 3. Business Data Cloud (BDC) Solutions (Example: Snowflake, Databricks, Google BigQuery, Azure Data Lake) Architect and implement cloud data platforms, data lakes, and data mesh designs Develop ETL/ELT pipelines using Python, DBT, Delta Live Tables, or similar tools Build end-to-end data models, fact/dimension layers, and unified semantic layers Enable enterprise-wide analytics for Finance, Supply Chain, Sales, and Operations 4. Data Engineering & Integration Build robust data ingestion pipelines using: SQL Python / PySpark SAP Datasphere Data Flow SAP BTP Integration Suite Integrate SAP + Non-SAP sources into business data layer Define data quality, governance, cataloging, and lineage standards 5. Architecture Leadership Design future-state enterprise data architecture Lead data modernization initiatives (SAP → Cloud) Mentor junior engineers and analytics developers Collaborate with business SMEs to define KPIs and data products 🧠 Required Skills (10+ Years Experience) Technical Expertise SAP Analytics Cloud (mandatory) SAC Reporting, Planning, Predictive Data Modeling, Calculations, Story Design SAP Datasphere / SAP Data Warehouse Cloud Business Builder / Data Builder expertise Semantic modeling, federated access, replication Business Data Cloud platforms Snowflake / Databricks / BigQuery / Azure Synapse ELT/ETL design and optimization SQL, Python, Spark Cloud Experience (any major cloud) AWS / Azure / GCP services for data engineering CI/CD, Git, DevOps practices Data Architecture Data lakes, data mesh, data fabric concepts Enterprise modeling, KPI frameworks, metadata management Soft Skills Strong client-facing and stakeholder communication Leadership in cross-functional engineering teams Ability to translate business requirements into scalable technical solutions Problem-solving, performance tuning, decision-making 🎓 Qualifications Bachelor’s or Master’s in Computer Science, Information Systems, Data Engineering, or similar 10–15 years of total experience in data engineering & analytics 5+ years of hands-on experience with the SAP analytics ecosystem Cloud certifications (AWS/Azure/GCP/SAP BTP) preferred 📩 How to Apply Send your resume to nivetha.s@eminds.ai. Subject Line: Application – SAP BDC & SAC Architect