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SAP Data Architect

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Jobs via Dice
Full Time position
Listed on 2026-01-10
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Warehousing, Data Security
Job Description & How to Apply Below

Job Overview

Dice is the leading career destination for tech experts at every stage of their careers. Our client, K Anand Corporation, is seeking an experienced SAP Data Architect to work on Cloud Analytics, SAP Business Data Cloud, Datasphere, MDG and related projects including Post PD2 (Core system) S/4

HANA.

Job Title

SAP Data Architect

Location

Austin, TX - Onsite Day 1

Duration

Longterm

Job Type

Contract

Expectations / Deliverables for the Role
  • Builds the SAP data foundation by defining how SAP systems store, share, and manage trusted enterprise data.
  • Produces reference data architectures by leveraging expert input from application, analytics, integration, platform, and security teams. These architectures form the basis for new solutions and enterprise data initiatives.
  • Enables analytics and AI use cases by ensuring data is consistent, governed, and discoverable.
  • Leverages SAP Business Data 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 business data.
  • Evolves data governance, ownership, metadata, and lineage standards across the enterprise.
  • Protects core transactional systems by preventing excessive replication and extraction loads.
Technical Proficiency
  • Strong knowledge of SAP master and transactional data domains.
  • Hands‑on experience with SAP MDG, Business Data Cloud, BW, Datasphere, or similar platforms.
  • Expertise in data modeling, metadata management, data quality, and data governance practices.
  • Understanding of data architectures that support analytics, AI, and regulatory requirements.
  • Experience integrating SAP data with non‑SAP analytics and reporting platforms.
Soft Skills
  • Ability to align data and engineering teams around a shared data vision, drive consensus on data standards and decisions.
  • Strong facilitation skills to resolve data ownership and definition conflicts.
  • Clear communicator who can explain architecture choices, trade‑offs, and cost impacts to stakeholders.
  • Pragmatic mindset focused on value, reuse, and simplification.
  • Comfortable challenging designs constructively in ARB reviews.
Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Industries

Software Development

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