Salary
≈ $111k – $215k per year (Estimated)
Location
In office (Dallas)
Seniority
Architect · 15+ years exp
Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 28, 2026.
Overview
Company
Impact
Profile match
HCLTech is a major Indian multinational information technology (IT) services and consulting company headquartered in Noida, Uttar Pradesh. Spun off from the original HCL Group in 1991, it ranks as one of India's largest technology companies alongside firms like TCS, Infosys, and Wipro.
Job Summary
The Datasphere Architect defines the target architecture and data modelling standards for the SAP Datasphere platform. The role provides technical leadership across ingestion from S/4HANA, semantic modelling, security and downstream consumption in SAP Analytics Cloud, Snowflake and Tableau.
Key Responsibilities
- Design the end-to-end data architecture from S/4HANA (ODP/CDS, RFC, OData) through SAP Datasphere to downstream platforms.
- Define spaces, layering (acquisition, harmonisation, consumption), naming conventions and data modelling standards.
- Select and govern integration patterns: replication flows, remote tables, data flows, transformation flows and SLT where applicable.
- Design performance, scalability, data volume and cost-optimisation strategies.
- Define the connectivity model including Cloud Connector, Data Provisioning Agent and network/security requirements.
- Review designs and code produced by consultants; mentor the team and resolve complex technical issues.
- Partner with the security, reporting and functional leads to ensure consistent semantics and access control.
Skill Requirements
Overall 15+ years experience
- Deep hands-on expertise in SAP Datasphere (modelling, data builder, business builder, integration).
- Strong knowledge of S/4HANA data extraction: ABAP CDS views, ODP framework, extractors and RFC/OData connectivity.
- Knowledge of SAP Business Data Cloud, SAP BW/4HANA and HANA SQL, plus integration with Snowflake and ETL tools such as FME.
- Data warehousing concepts: dimensional modelling, data governance, lineage and master data.
- Strong architecture documentation and presentation skills.
Other Requirements
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