SAP Data Architect

As of 2026-11-12

This page publishes the market for this role, recomputed on every platform update: 11 live postings tracked across 4 countries, the seniority asked for, the skills the postings actually name, and the day-rate band published sources support. No figure is estimated — a cell with no data stays empty.

The role's leading market in this corpus is Germany, with 4 live postings of the 11 tracked — 36 % of the total, and the most frequently named skill is "SAP Business Data Cloud" (4 postings).

The SAP data architect role, in plain terms

An SAP data architect decides how business data from S/4HANA, ECC and non-SAP sources is structured, moved, governed and exposed for analytics and AI. The role sits underneath reporting: it owns the data models, the integration patterns and the rules about who may see what, so that every downstream use — a dashboard, a plan, a machine-learning model, an AI assistant — reads the same trusted numbers.

On SAP the role has shifted with the product line. It used to mean BW data modelling and ETL design; today it spans SAP Datasphere, the data products delivered with SAP Business Data Cloud, and the connection to lakehouse platforms such as Databricks through SAP Databricks or BDC Connect. The architect chooses, domain by domain, whether to consume an SAP-delivered data product, model in Datasphere, or land data in the lakehouse.

The title overlaps with the SAP analytics architect, and many postings use the two interchangeably. Where a distinction is made, the data architect is closer to integration, master data and governance, and the analytics architect closer to reporting, planning and the business-facing layer.

SAP Data Architect jobs open right now

The 8 most recent postings for this role in the live corpus — recomputed on every update, each with its source and date. The full list, filterable by country and seniority, is on the opportunities hub.

Where the role is hiring

The per-country, per-seniority and per-work-mode detail is browsable on the opportunities hub — every row keeps its source and its posting date.

At what seniority

Seniority is what the posting STATES, not a judgement about the job: a posting that says nothing counts as "not stated" rather than being filed as junior by default.

What the postings ask for

The skills most often named across this role's live postings, counted by how many postings name them.

What the role pays

No published source gives a band for this exact slice, so none is shown. The bands that sources do support — by country, specialisation and seniority — are on the day-rate pillar, each with its source and basis.

Typical assignments for an SAP data architect

• Data platform target design: positioning Datasphere, Business Data Cloud data products and a partner lakehouse, with clear ownership of each data domain.
• Integration architecture: replication flows, CDS-based extraction from S/4HANA, connections to non-SAP sources, and the latency and cost each pattern implies.
• Data products: selecting SAP-delivered data products, defining custom ones, and documenting their contracts, owners and lifecycle.
• Governance and security: spaces, data access controls, lineage and cataloguing, aligned with the company's data governance model.
• Data for AI: preparing governed, semantically rich datasets that Joule, SAP Business AI or data-science teams can use without bypassing access rules.

Skills the role asks for

A strong SAP data architect reads S/4HANA's data structures and CDS views fluently, models in Datasphere, and understands what BW did well so it can be preserved or retired deliberately. On the open side, postings increasingly ask for lakehouse practice — Delta tables, Unity Catalog, notebooks — and for a working model of data products and data contracts.

Governance literacy separates the role from senior development: authorisation design, lineage, data quality ownership and the regulatory constraints that apply to the data. The architect must also be able to defend a design on cost, because replication volume and capacity units are now budget lines.

How people become SAP data architects

Two routes dominate: BW and Datasphere specialists who widened into integration and governance, and enterprise data architects who learned SAP's semantics. Business Data Cloud has made the second route more common, because SAP's own postings ask for a partner data platform alongside SAP data experience.

The role is offered both as a permanent architecture position and as a freelance assignment on transformation programmes. Live demand, countries and seniority mix on this page are recalculated from current postings at every build.

Hiring a SAP data architect or SAP data platform architect: scope and deliverables

A SAP data architect is engaged for decisions that are expensive to reverse: where each data domain lives (S/4HANA, SAP Datasphere, SAP Business Data Cloud data products or a partner lakehouse such as Databricks), how data moves between them (replication, federation or zero-copy sharing), and who may see what. A SAP data platform architect takes the same decisions at platform level, often during a BW migration or a first Business Data Cloud scoping, and freelance mandates are usually bounded to that design phase with a handover.

Deliverables to ask for: a target data architecture with an owner per domain; an integration decision per source with its latency and cost; a data-product or semantic-model catalogue; an authorisation and governance concept; and the decision record behind each choice. An architect who can show an anonymised version of each, and explain one decision they reversed, has done the job rather than drawn it.

In a first call, establish the current estate (ECC or S/4HANA, BW or BW/4HANA, Datasphere, any lakehouse), the reporting and AI uses the platform must serve, and whether the mission is design only or design plus build supervision. The live postings and sourced day-rate band above show the market for this role.

Frequently asked questions

What does an SAP data architect do?

An SAP data architect designs how SAP and non-SAP data is structured, integrated, governed and exposed for analytics and AI — across S/4HANA, SAP Datasphere, Business Data Cloud data products and, increasingly, a lakehouse such as Databricks.

What is the difference between an SAP data architect and an SAP analytics architect?

Many postings treat them as the same job. When they differ, the data architect focuses on integration, data products and governance, while the analytics architect focuses on reporting, planning and the business-facing layer built on top.

Which SAP products should an SAP data architect know in 2026?

SAP Datasphere and S/4HANA data structures first, then Business Data Cloud and its data products, SAP Databricks or BDC Connect, and enough BW/4HANA to plan its future. Knowledge of SAP Analytics Cloud helps to design for the consumers.

Why does an AI project need an SAP data architect?

AI assistants and models are only as reliable as the data they read. The data architect makes sure business semantics, master data and access rights carry through, so Joule or a data-science model does not see data a user should not see or numbers finance does not recognise.

SAP data platform architect or SAP data solution architect: what is the role and how is it different?

An SAP data platform architect designs the platform layer that carries all data work: Datasphere or Business Data Cloud, integration with Databricks or other lakehouses, governance and data products. It is the same family as an SAP data architect, with the emphasis on the platform and its operating model rather than on one data domain. An SAP data solution architect is usually the programme-level version of the same job: the data solution for one initiative, such as a BW migration or an AI use case, while the data architect role covers standards across initiatives. Postings use the titles interchangeably, so check whether the scope is one programme or the whole landscape.

SAP BTP data architect: what does it involve?

An SAP BTP data architect designs how data is stored, shared and governed on SAP Business Technology Platform: Datasphere spaces, HANA Cloud, integration services and the connection to non-SAP platforms. The role adds BTP concerns such as identity, connectivity and cost control to classic data modelling.

SAP data platform architect freelance: how do such assignments work?

A SAP data platform architect freelance mandate is usually a bounded engagement: target architecture, a migration or Business Data Cloud scoping phase, and a handover to the internal team. Clients value a clear decision record, so deliverables are architecture documents and a prioritised roadmap more than hours of configuration.

How do I hire a SAP data architect?

Write down the decisions you need taken: domain placement, integration pattern per source, data products and governance. Ask candidates for a target architecture and a decision record from a past mission, anonymised, and for one decision they later reversed and why. For a freelance SAP data platform architect, scope the mandate to the design phase plus a handover.

A practitioner of this role

Cédric Mary — SAP AI & Analytics Architect & Team Lead. Cédric Mary is a freelance SAP AI & Analytics architect, consultant and team lead with 27 years of SAP: Datasphere, Business Data Cloud, Databricks, SAC Planning and Joule. Based in Paris, he works anywhere in EMEA as a SAP AI consultant, SAP Datasphere consultant, architect and team lead, and SAP BDC (Business Data Cloud) consultant.

Go deeper

• SAP Datasphere
• Data Products
• BDC Connect for Databricks
• The firms that staff this role

The other tracked roles

• SAP Analytics Consultant
• SAP Datasphere Consultant
• SAP Analytics Cloud Consultant
• SAP BI Consultant
• SAP BDC Architect
• SAP Analytics Architect
• SAP Analytics Cloud developer
• SAP Datasphere developer
• SAP AI Consultant
• Freelance SAP Analytics Consultant

See the live postings

Population measured: the live SAP analytics postings this platform tracks, freshness filter included. It is not "the world market": it is what this corpus sees, and it says so. sap data architect.

Edited by Cédric Mary · How this page is made