SAP Datasphere Lead Engineer

Clark Construction Group, LLC•McLean, VA

1d•$100,000 - $200,000•Hybrid

About The Position

We are seeking a highly skilled SAP Datasphere Lead Engineer to take ownership of our enterprise data architecture, cloud infrastructure, and semantic modeling. In this role, you will be the go-to authority for maintaining the health, performance, and scalability of our SAP Datasphere environment. You will bridge the gap between raw data engineering and business intelligence by managing core infrastructure, setting up robust monitoring/alerting frameworks, tracking consumption, and building high-performance semantic models. If you thrive on optimizing cloud data warehouse environments and translating complex data into business-ready assets, we want you on our team.

Requirements

Minimum of 3–5 years of hands-on experience specifically with SAP Datasphere (formerly SAP Data Warehouse Cloud) and SAP HANA Cloud.
Strong background in SAP data structures (S/4HANA, SAP BW/4HANA, or SAP ECC) and understanding of SAP CDS views.
Advanced proficiency in SQL, script-based modeling, and conceptual/logical/physical data modeling.
Experience utilizing SAP Datasphere’s built-in monitoring dashboards, Local Table monitors, and integrating with external monitoring logs if required.
Familiarity with cloud infrastructure concepts, data lakes, and security protocols (OIDC, SAML, OAuth).

Nice To Haves

SAP Certified Application Associate - SAP Datasphere certification.
Experience tying SAP Datasphere semantic models directly into Power BI dashboards.
Familiarity with BW Bridge concepts for migrating legacy BW artifacts.

Responsibilities

Serve as the primary administrator for the SAP Datasphere tenant, managing spaces, storage allocations, and user access/security profiles.
Design, configure, and maintain the underlying Data Object Store, Open SQL Schemas, and integration with cloud storage (e.g., AWS S3, Azure ADLS, or SAP HANA Cloud).
Establish and maintain secure connections to diverse source systems (SAP S/4HANA, BW/4HANA, non-SAP databases, and APIs) using DP Agent, Cloud Connector, and remote tables.
Implement and track KPIs for system performance, data replication speeds, and query execution times.
Set up, configure, and manage proactive alerting mechanisms within Datasphere and SAP Analytics Cloud (SAC) to capture data load failures or system bottlenecks.
Monitor compute and storage consumption metrics to optimize resource allocation, manage licensing boundaries, and predict future capacity needs.
Build, optimize, and maintain complex Analytical Datasets, Perspectives, and Business Entities within the Business Builder and Data Builder layers.
Develop efficient graphical and SQL-based data flows to clean, transform, and consolidate enterprise data.
Ensure the semantic layer provides a clean, intuitive, and high-performing "single source of truth" for business users utilizing SAP Analytics Cloud (SAC) or third-party BI tools.