SAP Data and Analytics Architect

Tech Mahindra; Hyderabad, Chennai District, Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Tech Mahindra is seeking an experienced SAP Data and Analytics Architect to design and implement scalable, secure data solutions within the SAP ecosystem. The role connects business strategy with technical execution to support analytics, reporting, and digital transformation.

The candidate will architect data solutions using SAP S/4HANA, BW/4HANA, Data Intelligence, Analytics Cloud, Datasphere and Data Cloud, while leading migration, ETL, and integration efforts.

Qualifications

• Extensive experience in SAP Data & Analytics, including BW and BW/4HANA.
• Strong expertise in SAP Data Services, HANA modelling and Analytics Cloud.
• Experience with Datasphere, BDC, and data governance concepts.

Responsibilities

• Design end-to-end SAP data & analytics architectures for large-scale deployments.
• Lead data migration and ETL/ELT processes within SAP ecosystems.
• Drive presales support with technical solutions for customer requirements.
• Guide data governance, metadata management, and data quality initiatives.
• Enable analytics and dashboards using SAP Analytics Cloud and embedded analytics.

Skills

SAP BW/BW/4HANA

SAP BDC

SAP Data Services

SAP HANA modelling

SAP Analytics Cloud

SAP Datasphere

SQL

ABAP

Tools

SQL

ABAP

Job description

Job Title: SAP Data and Analytics Architect

Role Overview

The SAP Data and Analytics Architect is responsible for designing and implementing scalable, secure, and high-performance data solutions within the SAP ecosystem. This role bridges business strategy and technical execution, ensuring that data architecture supports analytics, reporting, and digital transformation initiatives.

Key Responsibilities

• SAP COE and Solution Response: As architect work on building solution response for customer requirement and build industry specific solution using SAP platform. Responsible for building competency for niche/modern technology area like SAP BDC
• Architect SAP Data Solutions: Design end-to-end data architecture using SAP S/4HANA, SAP BW/4HANA, SAP Data Intelligence, SAP Analytics Cloud, SAP Datasphere and SAP Business data cloud.
• Presales: Client engagement, sales support, technical expertise in data integration and cloud solutions, and staying updated on SAP data innovations.
• Data Migration: Lead data migration efforts using SAP Data Services, SAP Migration Cockpit and Syniti/ Any 3rd party Tools.
• ETL & Integration: Develop and optimize ETL pipelines and integrations with SAP and non-SAP systems.
• Analytics Enablement: Enable advanced analytics, dashboards, and KPIs using SAP Analytics Cloud and embedded analytics.

Required Skills & Qualifications

15+ years of experience in SAP Data & Analytics area with

• Strong expertise in SAP BW or BW/4HANA, SAP BDC, SAP Data Services, SAP HANA modelling, and SAP Analytics Cloud.
• Should experience in BW Migration to BW/4HANA, SAP Datasphere / SAP BDC.
• Should have minimum 2 years of experience in presales function working as solution architect to build solutions for customer requirements including planning & estimation.
• Should have completed at least one BW/4HANA conversion project and one Datasphere /BDC implementation.
• Should have minimum two project experience in covering BW remediation (ECC & BW side) as part of S/4HANA conversion project.
• Should have experience in defining reporting strategy for SAP customer as part of S/4HANA transformation.
• Proficiency in SQL, ABAP (for data extraction), and data visualization tools.
• Knowledge of data governance, master data management (MDM), and metadata tools.
• Experience in building AI/GenAI solutions leveraging SAP BTP, SAP BDC & Databricks.
• Excellent communication and stakeholder management skills.
• Knowledge in data lakes, cloud platforms (Azure, AWS, GCP), and hybrid architectures.

Preferred Qualifications

• SAP Certified Technology or Data Architect.
• Experience with SAP BTP (Business Technology Platform).
• Familiarity with AI/ML integration in SAP analytics.
• Exposure to Agile and DevOps methodologies.