Architect - Enterprise Application - SAP N 4D

Genpact Ltd.; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Genpact invites applications for a DataOps Engineer role focused on SAP Datasphere, metadata-driven data pipelines, and governance across Dev/Test/Prod environments.

You will build and automate ingestion, lineage, and access controls, leveraging CLI tools and REST APIs, while ensuring data security and scalable data architectures in a fast-moving AI/analytics setting.

Qualifications

• Hands-on with SAP Datasphere, BDC or SAP BTP Data Services.
• Strong SQL and SAP HANA Cloud concepts.

Responsibilities

• Build real-time and batch ingestion pipelines using SAP Datasphere components.
• Design metadata-driven spaces and pipelines via configuration registries and CLI automation.
• Implement retention and data tiering with cloud storage integration.
• Develop a governed routing and semantic distribution engine for DAC and analytic views.
• Govern platform governance: spaces, privileges, sharing topologies, and lineage.
• Drive DataOps automation: CI/CD across Dev/Test/Prod using CLI and REST APIs.
• Monitor replication lag, logs, and SLA compliance; alert on data drift.
• Collaborate with SAP data modeling to align semantic consistency and access requirements.
• Document architecture, data flow patterns, and security topologies.

Skills

SAP Datasphere

DataOps

SQL

Python

REST APIs

CLI

CI/CD

Git

Data governance

S/4HANA

Education

Bachelor's degree in Computer Engineering/CS/IT

Masters in Software Engineering

Tools

Azure DevOps

GitHub Actions

GitLab CI

Job description

Ready to turn bold ideas into real-world impact?

At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.

Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job Description

Job Purpose :

Data Platform Services is building a modern, governed, metadata-driven business data fabric powered by SAP Datasphereand the broaderSAP Business Data Cloud (BDC)/ SAP Business Technology Platform (BTP) ecosystem. This platform spans cross-system ingestion, semantic data layering, long-term persistence/archiving, and governed consumption across multiple downstream analytical and operational engines.

We are seeking a DataOps Engineerwho treatsspaces, data pipelines, replication flows, and semantic models as configuration, not one-off manual builds— someone who has designed or maintained environments where central metadata and rule tables drive how data assets are onboarded, transformed, partitioned, secured, and federated, rather than hand-crafting individual spaces and views from scratch.

You will operate across the full data lifecycle: hybrid ingestion/replication (landing → persisted business layer → cold store/archive), lifecycle and storage tiering strategies, and the dynamic routing engine that provides filtered, masked, and context-rich semantic views to multiple downstream consumers.

Key Responsibilities..

• Build and operateresilient real-time and batch ingestion pipelines withinSAP Datasphereusing Replication Flows, Data Flows, and Transformation Flows from SAP (S/4HANA, ECC, BW/4HANA, SAP BDC) and non-SAP cloud/lake sources.
• Design and maintain metadata-driven Space and Pipeline generation— where onboarding a new source entity, defining business semantics, or establishing delta replication is driven by configuration registries, templates, and CLI/API automation rather than manual UI workflows.
• Implement retention and data tiering strategiesusing Datasphere cold storage integration, partition-based retention, and hybrid connectivity to external cloud object stores (e.g., ADLS Gen2, AWS S3, Snowflake).
• Build and maintain a governed routing & semantic distribution engine: leverage a metadata rules registry (splittable,target_consumers[],row_filter_expr,column_mask_expr) to programmatically build and manage Data Access Controls (DAC), Analytic Models, and Consumption Views across Spaces.
• Own Datasphere & BDC platform governance: architect Space hierarchies, user privileges, Space-to-Space sharing topologies, catalog registrations, and cross-system business context lineages.
• Drive DataOps & CI/CD automation: manage automated asset lifecycle and deployment across environments (Dev/Test/Prod) leveraging Datasphere CLI, Content Network packages, REST APIs, and Git-integrated repositories.
• Monitor platform health & replication telemetry: track replication lag, task execution logs, memory/storage consumption quotas across Spaces, and semantic view performance; build proactive alerting for SLA breaches and data drift.
• Collaborate with SAP functional/data modeling teamsto align on semantic consistency (CDS views, business context, ODP extractors) and translate consumer access requirements into secure, performant consumption models.
• Document architecture, data flow patterns, and security topologiesto maintain enterprise compliance and accelerate developer onboarding.

**** Required Skills & Experience

Core Platform & SAP Datasphere / BDC

• Hands-on experience with SAP Datasphere(formerly Data Warehouse Cloud) and/orSAP BDC / BTP Data Services.
• Strong hands-on expertise withDatasphere core artifacts: Spaces, Connections (DP Agent, Cloud Connectors), Replication Flows, Data Flows, Transformation Flows, View Modeling (Graphical & SQL/Script), and Analytic Models.
• Deep understanding ofSAP source integration patterns: CDS Views, ODP/Extractors, SAP Landscape Transformation (SLT), S/4HANA integrations, and federation vs. replication trade-offs.
• Strong proficiency inSQL and SAP HANA Cloud engine concepts(calculation views, indexing, execution plan analysis, in-memory optimization).

Metadata-Driven Engineering & Automation (Critical)

• Proven experience building or maintainingmetadata/config-driven integration frameworks— where schemas, replication tasks, or security policies are programmatically driven by configuration tables or parameterized templates.
• Experience withSAP Datasphere Command Line Interface (datasphere CLI), REST APIs, or Python scripts to automate tenant management, Space provisioning, CSN/JSON definition generation, and user onboarding.
• Strong understanding of keeping semantic models and DAC rules synchronized with an authoritative source-of-truth metadata repository.

Platform Engineering / DataOps

• CI/CD & Lifecycle Management:Hands-on experience with Datasphere Content Network, transport management, and version-controlled deployment pipelines (Azure DevOps, GitHub Actions, or GitLab CI).
• Scripting & Orchestration:Strong scripting skills (Python, PowerShell, Bash) and experience with enterprise orchestrators (Airflow, Azure Data Factory, Control-M, or SAP BTP job scheduling).
• Observability & Performance Tuning:Experience monitoring space storage quotas, replication queues, performance optimization of complex joined views, and setting up automated incident alerts.

Governance & Security

• Deep expertise inDatasphere Data Access Controls (DAC), object-level authorizations, row-level filters, and column-level masking for sensitive/PII data.
• Familiarity with enterprise cataloging and metadata lineage (SAP Datasphere Catalog, SAP Purview connector, Collibra, or Alation).
• Strong written and verbal communication skills with the ability to bridge the gap between technical data engineering and business analytics teams.

Nice to Have

• Experience withSAP Analytics Cloud (SAC)integration and Live Connection optimization.
• Experience withSAP HANA Cloud / HDI Containersand native HANA database artifacts.
• Hands-on knowledge of cloud lakehouse platforms (Databricks, Snowflake, Azure Synapse, Fabric) connected via Open Data Mesh / Federation to Datasphere.
• Familiarity with SAP BTP global account and subaccount administration, Cloud Identity Services (IAS), and single sign-on (SSO).

**** What Success Looks Like in the First 6 Months

• Config-Driven Asset Deployment:New entity ingestion and Space provisioning are automated via configuration tables and CLI scripts, minimizing manual UI modeling.
• Automated Security & Access:Data Access Control (DAC) generation and Space-sharing policies operate seamlessly based on centralized security metadata.
• Optimized Storage & Replication:Automated data tiering, delta replication monitoring, and partition pruning are established and operating reliably across production spaces.
• End-to-End DataOps Pipeline:CI/CD deployment routines across Dev/Test/Prod environments are fully automated with zero manual transport bottlenecks.

Qualifications

Bachelors - Computer Engineering, Bachelors - Computer Science, Bachelors - Information Technology, Masters - Software Engineering

Certifications

Certified Information Systems Security Professional (CISSP) - Workforce Academy OnlineWorkforce Academy Online

Required Skills

Agile Methodology, Agile Methodology, Applications Support, Ariba, Banking Capital Markets, Cash Counting, Change Management, Client Relations, Collaboration Tools, Design Thinking, Enterprise Resource Planning (ERP), Executive Presence, Financial Operations, Hedge Funds, Human Resources (HR), Inclusion, Investment Accounts, Modernizing Operations, People Leadership, Personal Effectiveness, Project Systems, Risk Management, Sales And Distribution Vistex, SAP Advanced Planning and Optimization (SAP APO), SAP Analytics Cloud {+ 27 more}

Language

English (Required)

Language Proficiency -

Proficient - C2

Additional Job Location -

Job Type

Regular

Master Skill List -

Enterprise Application - SAP N

Remote Type -

Office

Work Shift -

Day Job (India)

Why join Genpact?

• Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
• Make an impact – Help global enterprises solve business challenges that matter
• Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
• Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
• Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.