Architect - Enterprise Application - SAP N 4D

Job Title: Architect - Enterprise Application - SAP N 4D Company: Genpact SAP Module: SAP BASIS Roles & Responsibilities: 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. 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 We're looking for a DataOps Engineer who treats ETL pipeline design, data flows, and access-control logic as configuration, not one-off code — someone who builds and maintains systems where metadata tables and control frameworks drive what gets executed (jobs, interfaces, delta loads, transformations, and security masking), rather than hand-crafting individual one-off BODS jobs for every new dataset or consumer. * Build and operate robust batch and incremental change data capture (CDC) ingestion pipelines using SAP Data Services (BODS) from SAP (ECC, S/4HANA, SLT, ODP/Extractors) and non-SAP sources into central staging repositories/databases (e.g., SQL Server, Oracle, SAP HANA, or Cloud Storage). * Design and maintain metadata-driven ETL generation & execution frameworks — where dataset onboarding (new source table, delta logic, schema mapping, validation rules) is driven by configuration tables and reusable BODS templates/scripts rather than creating bespoke data flows from scratch. * Implement and maintain partition-based retention, database archiving, and extraction routines for historical data and rolling window retention policies (e.g., current + N prior years). * Build and maintain a dataset routing-rules engine: a governed metadata table (splittable, target\systems[], row\filter\expr, column\mask\expr) that programmatically directs and transforms BODS distribution jobs and target views per downstream system. * Own BODS repository architecture & governance: manage local/central repositories, Data Services Management Console (DSMC), user access security, environment promotion (Dev/Test/Prod), and execution auditing/lineage. * Drive DataOps & CI/CD automation: streamline BODS export/import/transport automation, repository synchronization, and job scheduling via Enterprise Scheduling tools (e.g., Autosys, Control-M, Airflow, or Azure Data Factory). * Monitor pipeline health, job execution logs, CDC checkpoint integrity, schema drift, and data SLAs; establish automated alerting and self-healing for job failures and data-freshness breaches. * Collaborate with upstream SAP functional/basis teams to define data contracts (e.g., Delta queue/ODP parameters, timestamps, extraction load impact) and downstream teams to translate their access/filter requirements into routing rules. * Document pipeline architecture, data dictionaries, retention policies, and routing logic for auditability and seamless developer onboarding. * Demonstrable background designing or maintaining metadata/config-driven ETL frameworks — e.g., control/registry tables driving dynamic SQL generation, parameterized BODS global variables, or generic reusable data flow templates. * Strong understanding of keeping generated ETL processes and target tables in sync with a source-of-truth ruleset, including schema versioning and change auditability. * Experience implementing automated audit logging, error handling, row-count reconciliations, and execution metrics captured directly via BODS scripts and database tables. * ETL Orchestration & Scheduling: Experience managing automated job schedules and dependency management via BODS Management Console, Azure Data Factory, Control-M, Airflow, or Autosys. * CI/CD & Version Control: Experience applying software engineering discipline to BODS (e.g., Git integration/documentation, automated repository migrations, deployment scripts). * Scripting & Automation: Strong scripting skills using Python, PowerShell, or Bash to automate file transfers, API interactions, and operational tasks around the BODS platform. * Monitoring & Observability: Hands-on experience setting up alerting, performance bottleneck troubleshooting (memory/buffer tuning in BODS), and data validation frameworks. * Experience with SAP Information Steward (data quality profiling, rule building, metadata management). * Hands-on experience integrating SAP BODS with cloud data platforms (Azure Data Lake Storage Gen2, Snowflake, Databricks, or AWS S3). * Exposure to SAP Landscape Transformation (SLT) or SAP Data Intelligence / Datasphere. * Experience in large-scale multi-tenant enterprise environments supporting cross-functional business domains (Supply Chain, Finance, Commercial). Agile Methodology, Banking Capital Markets, Collaboration Tools, SAP Analytics Cloud, SAP Cloud Platform Integration (CPI), SAP Global Trade Services, SAP Integrated Business Planning (IBP), SAP Solution Composer, SAP Solution Manager, SAP Success Factors, SAPUI5, SAP Warehouse Management System (WMS), Storytelling, Transaction Support, Treasury Accounting, Treasury Cash Management, Treasury Management Work Shift - Work Location: TS, India Availability: Full time

️ Required Skills & Experience * Working knowledge of enterprise data governance: access control models, data lineage, retention/compliance-driven deletion, and data masking/obfuscation techniques for sensitive data (PII). * Experience serving multiple downstream consumers with varying analytical and operational requirements by delivering filtered and governed interfaces. * Clear written communication habits; ability to articulate complex ETL architectures and governance rules to both technical and non-technical stakeholders. Qualifications Bachelors - Computer Engineering, Bachelors - Computer Science, Bachelors - Information Technology, Masters - Software Engineering Certifications Language Proficiency - Key Skills: SAP S/4HANA, SAP HANA, RFC, Warehouse Management, Configuration, SQL, Python Salary: Not disclosed