Job Description
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/4 HANA, 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/4 HANA
BW/4 HANA
Snowflake
Databricks
Azure/AWS/GCP ecosystems
Optimize performance, governance, security, and data lineage
3. Business Data Cloud (BDC) Solutions
(Example: Snowflake, Databricks, Google Big Query, 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 / Py Spark
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 / Big Query / 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, Dev Ops 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
Subject Line: Application – SAP 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/4 HANA, 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/4 HANA
BW/4 HANA
Snowflake
Databricks
Azure/AWS/GCP ecosystems
Optimize performance, governance, security, and data lineage
3. Business Data Cloud (BDC) Solutions
(Example: Snowflake, Databricks, Google Big Query, 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 / Py Spark
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 / Big Query / 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, Dev Ops 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
Subject Line: Application – SAP BDC & SAC Architect
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