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SAP Data Architect

Madiba, IncUnited States🇺🇸United StatesPosted 22 Jul 2026

Why This Role Stands Out

This consulting role offers a unique opportunity to make a significant impact by assessing and mapping complex data architectures, with potential for ongoing engagement. If you excel at deep analysis and have a strong background in SAP, EDW, Snowflake, and Anaplan integration, this hybrid position is an excellent next step in your career. Apply now to leverage your expertise in a dynamic environment!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Data Architect (Consulting) — SAP / EDW / Snowflake / Anaplan Integration

Engagement Type: Contract / Consulting (4–5 week initial engagement, with potential extension)

Overview

We''re looking for a hands-on Data Architect with strong consulting instincts to lead a focused as-is assessment of our current data flows across SAP, our enterprise data warehouse(s), Snowflake, and Anaplan. This is a discovery-first engagement: the goal is to map, document, and diagnose current-state data architecture — including source-to-target lineage, integration patterns, and data model structures — not to build net-new pipelines, though findings will feed directly into a future-state roadmap.

Key Responsibilities

         Conduct stakeholder interviews with IT, finance, and business teams to understand current data flows, extraction methods, and integration architecture

         Map existing data pipelines and integration points between SAP (ECC/S4HANA), EDW platforms, Snowflake, and Anaplan, including batch vs. real-time flows, API/middleware layers, and staging/landing zones

         Document source-to-target data lineage, transformation logic (ETL/ELT), latency SLAs, data ownership, and system-of-record designations

         Evaluate SAP extraction methods (e.g., BW extractors, IDocs, CDS views, RFC/BAPI calls) and how data lands in downstream warehouse and Snowflake environments

         Assess Snowflake schema design, warehouse sizing/performance patterns, and role-based access controls as they relate to upstream sources

         Review Anaplan integration touchpoints (Anaplan Connect, REST API, CloudWorks) and how planning data reconciles back to source systems

         Identify redundancies, bottlenecks, data quality issues, schema drift, and governance gaps

         Produce a clear as-is architecture diagram (conceptual, logical, and physical layers) and findings summary within the 4–5 week window

         Present findings and preliminary recommendations to stakeholders and leadership

Required Experience

         8+ years in data architecture, with direct hands-on experience across SAP (ECC/S4HANA data structures and extraction tooling), enterprise data warehouses, Snowflake, and Anaplan

         Proven experience running as-is / current-state assessments in a consulting or advisory capacity (not just internal architecture work)

         Strong data modeling skills across conceptual, logical, and physical layers, including dimensional modeling and star/snowflake schema design

         Working knowledge of ETL/ELT tooling and integration patterns (e.g., SAP BW/BODS, Informatica, Fivetran, dbt, Talend, or similar) and orchestration frameworks

         Understanding of data governance, metadata management, and lineage tracking practices

         Comfortable interviewing stakeholders and translating technical findings into business language

         Experience producing architecture diagrams (e.g., using Visio, Lucidchart, or similar) and executive-ready documentation

Ideal Background

         Prior experience at a consulting firm (Big 4, boutique data consultancy, or systems integrator) or as an independent consultant delivering similar assessments

         Ability to work independently, manage ambiguity, and deliver a polished output on a tight timeline

         Strong communication skills — this role is as much about diagnosis and stakeholder alignment as it is technical mapping

Skills

ETL
Snowflake
REST
dbt

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