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