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Datasphere Jobs in Texas (NOW HIRING)

... Datasphere (formerly SAP Data Warehouse Cloud) • Design and implement data models using SAP Datasphere. • Develop and optimize data warehousing solutions to support business operations and ...

SAP BTP Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

... Cloud, Datasphere, MDG and related capabilities to unify data and eliminate duplicate data copies. • Defines and maintains common data model catalogs to create a shared understanding of core ...

SAP Datasphere is a plus. We are looking for someone with strong hands-on experience in SAP BW for HANA, including data modeling, InfoObjects, DSOs, transformations, process chains, and HANA-based ...

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Datasphere information

What is the difference between Datasphere vs Data Analyst?

AspectDatasphereData Analyst
Required CredentialsData-related certifications, technical skillsStatistics, data visualization, analytical skills
Work EnvironmentData platforms, cloud environments, enterprise systemsOffice, remote, data labs
Employer & Industry UsageTech companies, data-driven organizationsBusiness, finance, marketing sectors
Search & Comparison IntentUnderstanding data platform rolesAnalyzing data to inform decisions

Datasphere roles focus on managing and integrating data platforms and ecosystems, often requiring technical certifications. Data Analysts interpret data to generate insights, using statistical and visualization skills. While both work with data, Datasphere professionals handle infrastructure and data architecture, whereas Data Analysts focus on analysis and reporting.

What is the job description of Datasphere?

A Datasphere role typically involves managing and analyzing large datasets, developing data pipelines, and ensuring data quality and security. Skills in data management tools, programming languages like Python or SQL, and knowledge of cloud platforms are often required. The position may also include collaborating with teams to support data-driven decision-making.

What is a Datasphere?

A Datasphere in a job context typically refers to a role focused on managing, analyzing, and interpreting large datasets within data-driven organizations. It involves skills in data management, analytics tools, and understanding of data architecture to support decision-making and strategic initiatives.
What are popular job titles related to Datasphere jobs in Texas? For Datasphere jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Datasphere jobs in Texas look for? The top searched job categories for Datasphere jobs in Texas are:
What cities in Texas are hiring for Datasphere jobs? Cities in Texas with the most Datasphere job openings:
Infographic showing various Datasphere job openings in Texas as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution.

Other

Posted 12 days ago


Job description

We have an opening for a SAP BW with Datasphere Developer in Plano, TX. Start date is ASAP and will last for 3+ MONTHS. This is a temp to perm role
Preferably local with one day onsite but candidate should be flexible if that is changed by client
Pay Rate is 53-60/hr
Skills (EXPERT/ADVANCED/NONE)
SAP BW with Datasphere
Questions (must answer YES to ALL)
 Does candidate have Strong hands-on experience in designing and developing ABAP CDS views
 Does candidate have Experience with CDS entities, associations, annotations, and parameterized view
 Does candidate have ability to build performance optimized CDS views for analytical and extraction scenarios
Does candidate have Experience with CDS based data extraction and large volume data handling

Description:

1. Strong hands-on experience in designing and developing ABAP CDS views
2. Experience with CDS entities, associations, annotations, and parameterized views
3. Ability to build performance optimized CDS views for analytical and extraction scenarios
4. Experience with CDS based data extraction and large volume data handling
5. Familiarity working with downstream consumers such as SAP Datasphere
6. Working knowledge of SAP BW/ BW on HANA
7. Hand on experience with SAP Datasphere is a significant advantage
8. Experience designing and building Datasphere spaces, data models and data flows
9. Exposure to data integration from SAP S/4 HANA, BW, or CDS views into Datasphere