SAC BDC Architect

5 days ago

New Delhi, 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 models - Create complex calculation views, KPIs, analytical models - Integrate SAC with Datasphere, S/4HANA, BW/4HANA, and other SAP systems - Lead full lifecycle from data modeling → story design → deployment2. SAP Datasphere / SAP Data Warehouse Cloud- Architect multi-layered Datasphere data & business models - Build semantic models, federated access, replication pipelines - Integrate with: - S/4HANA, BW/4HANA - Snowflake, Databricks - Azure/AWS/GCP - Drive performance, governance, data lineage, and security3. Business Data Cloud (Snowflake, Databricks, BigQuery, Azure Data Lake)- Architect cloud data platforms, data lakes, lakehouse, data mesh - Build scalable ETL/ELT pipelines using DBT, Python, Spark, SQL - Create enterprise-grade fact/dimension models & semantic layers - Deliver analytics for Finance, Supply Chain, Sales, Operations4. Data Engineering & Integration- Implement ingestion pipelines using SQL, Python, PySpark - Develop SAP Datasphere Data Flows and SAP BTP integrations - Integrate SAP + non-SAP data sources into unified business layers - Define data quality, governance, cataloging standards5. Architecture & Leadership- Define & implement future-state enterprise data architecture - Lead SAP → Cloud data modernization initiatives - Mentor and guide engineering & analytics teams - Collaborate with business stakeholders to design scalable data productsRequired SkillsTechnical Skills- SAP Analytics Cloud (mandatory) - SAP Datasphere / DWC - Snowflake / Databricks / BigQuery / Synapse - SQL, Python, Spark, ETL/ELT - AWS / Azure / GCP data engineering services - CI/CD, Git, DevOps practicesArchitecture Skills- Data lakes, data mesh, data fabric - Semantic modeling, metadata, lineage - KPI frameworks, data governanceSoft Skills- Excellent communication & stakeholder management - Leadership in cross-functional engineering teams - Strong analytical and decision-making abilitiesQualifications- Bachelor’s/Master’s in Computer Science, Data Engineering, Information Systems or equivalent - 10–15 years in analytics & data engineering - 5+ years hands-on with SAP Analytics ecosystem - Cloud certifications preferredInterested candidates can share their CVs at:deepika.balijepally@eminds.ai

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