Overview

As a key member of the Enterprise Data & Analytics team, the Enterprise Data & Analytics Architect is responsible for designing, implementing, and maintaining enterprise data and analytics solutions.

This includes building robust data pipelines, and architecting and developing data models that support enterprise-wide data integration, analytics, and reporting.

The role collaborates closely with business leaders, Business Relationship Managers, and internal analytics teams to define data strategies, identify data sources, and deliver scalable analytical solutions.

The ideal candidate combines deep technical expertise with strong business acumen and excels at balancing innovation with execution in a fastpaced environment.

Key Responsibilities :

- Design and implement enterprise-wide data solutions across operational, analytical, and reporting platforms.

- Collaborate with business stakeholders to define analytics requirements and translate them into scalable data solutions.

- Design and maintain data flows from SAP S/4HANA into enterprise data stores, ensuring data quality, performance, and reliability.

- Build and maintain SAP S/4HANA Core Data Services (CDS) views to support realtime reporting and to feed enterprise data lakes.

- Architect and manage modern data platforms, including Databricks, to support advanced analytics, machine learning, and real-time data processing.

- Build and optimize data pipelines for ingestion, transformation, and orchestration using tools such as Databricks, Delta Lake, and Apache Spark.

- Ensure data accessibility, security, and performance across platforms while maintaining consistency and governance.

- Lead the development of data models, data integration strategies, and data stewardship frameworks.

- Drive continuous improvement in data architecture, analytics capabilities, and data management practices.

- Provide technical leadership and mentorship to project teams and cross-functional partners.

- Collaborate with infrastructure and DevOps teams to manage Databricks workspaces, clusters, and CI/CD pipelines for data workflows.

- Explore and implement Generative AI use cases to enhance data-driven decisionmaking, automation, and user experiences.

Qualifications :

- 5+ years of experience in SAP IT departments and/or SAP consulting roles.

- Hands-on experience with SAP tools including S/4HANA, Core Data Services (CDS), Web Intelligence, and Design Studio.

- Strong expertise in data management, data architecture, analytics, and database systems.

- Experience with Databricks, including cluster management, notebook development, and integration with cloud storage and data lakes.

- Proven experience building and maintaining data pipelines from SAP S/4HANA to enterprise data stores.

- Familiarity with Generative AI technologies and their application in enterprise data and analytics environments.

- Proven ability to work directly with business stakeholders to gather and finalize data requirements.

- Experience designing and implementing ETL/ELT pipelines using modern data engineering tools and frameworks.

- Self-starter with a passion for learning new tools, systems, and processes.

- Experience translating business needs into technical project requirements.

- Project management experience with a track record of delivering data-driven solutions.

- Background in IT development, Business Intelligence, Data Warehousing, or related fields.

- Bachelor's degree in Computer Science, Engineering, Business, or a related discipline.

- Experience with Databricks, specifically leveraging SAP data for analytics and data engineering use cases