SAC BDC Architect

4 days ago

hyderabad, India Enterprise Minds, Inc Full time

🔥 Senior Data Architect (SAC + Datasphere + Business Data Cloud) – 10+ YearsRole OverviewWe are looking for a highly seasoned Senior Data Architect / Lead Analytics Engineer with deep expertise in SAP Analytics Cloud (SAC), SAP Datasphere, and modern Business Data Cloud ecosystems. The ideal professional will have strong solution architecture capabilities, hands-on technical expertise, and a proven record of driving enterprise data modernization across SAP and cloud environments.This role requires end-to-end ownership of data architecture, cloud analytics engineering, governance, and business-focused solution design.🔍 Key Responsibilities1. SAP Analytics Cloud (SAC)Design and build SAC stories, dashboards, planning & predictive modelsCreate complex calculation views, KPIs, analytical modelsIntegrate SAC with Datasphere, S/4HANA, BW/4HANA, and other SAP systemsLead full lifecycle from data modeling → story design → deployment2. SAP Datasphere / SAP Data Warehouse CloudArchitect multi-layered Datasphere data & business modelsBuild semantic models, federated access, replication pipelinesIntegrate with:S/4HANA, BW/4HANASnowflake, DatabricksAzure/AWS/GCPDrive performance, governance, data lineage, and security3. Business Data Cloud (Snowflake, Databricks, BigQuery, Azure Data Lake)Architect cloud data platforms, data lakes, lakehouse, data meshBuild scalable ETL/ELT pipelines using DBT, Python, Spark, SQLCreate enterprise-grade fact/dimension models & semantic layersDeliver analytics for Finance, Supply Chain, Sales, Operations4. Data Engineering & IntegrationImplement ingestion pipelines using SQL, Python, PySparkDevelop SAP Datasphere Data Flows and SAP BTP integrationsIntegrate SAP + non-SAP data sources into unified business layersDefine data quality, governance, cataloging standards5. Architecture & LeadershipDefine & implement future-state enterprise data architectureLead SAP → Cloud data modernization initiativesMentor and guide engineering & analytics teamsCollaborate with business stakeholders to design scalable data products🧠 Required SkillsTechnical SkillsSAP Analytics Cloud (mandatory)SAP Datasphere / DWCSnowflake / Databricks / BigQuery / SynapseSQL, Python, Spark, ETL/ELTAWS / Azure / GCP data engineering servicesCI/CD, Git, DevOps practicesArchitecture SkillsData lakes, data mesh, data fabricSemantic modeling, metadata, lineageKPI frameworks, data governanceSoft SkillsExcellent communication & stakeholder managementLeadership in cross-functional engineering teamsStrong analytical and decision-making abilities🎓 QualificationsBachelor’s/Master’s in Computer Science, Data Engineering, Information Systems or equivalent10–15 years in analytics & data engineering5+ years hands-on with SAP Analytics ecosystemCloud certifications preferred📩 Interested candidates can share their CVs at:👉 deepika.balijepally@eminds.ai

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