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.

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 :

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.

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.

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.

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.

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 :

- Bachelors or Masters 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.