Lead Architect – Master Data
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Lead Architect driving global master data architecture strategy during SAP S/4HANA transformation at Scotts Miracle-Gro. Collaborate with VP, Data Intelligence & AI on enterprise data management initiatives.
Responsibilities:
- Define and own the target-state master data architecture for the SAP ECC to S/4HANA Cloud migration
- Serve as design authority for the master data workstream — setting data models, conversion standards, and migration design principles aligned to SAP Activate
- Provide architectural guidance in Fit-to-Standard workshops for data domains
- Analyze the SAP Simplification List to identify deprecated objects, mandatory conversions, and architectural changes
- Architect master data solutions adhering to Clean Core / ABAP Cloud extensibility frameworks
- Design modern data exposure and consumption models leveraging Core Data Services (CDS) Views and the SAP Business Technology Platform (BTP) ecosystem
- Lead the architectural design and structural alignment of Finance master data for S/4HANA
- Establish and maintain standard data models for Business Partner, Material, and Finance domains to ensure cross-functional data integrity
- Select and architect the data profiling and automated remediation tooling stack
- Partner with business data stewards to define data quality KPIs and validation standards
Requirements:
- Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Finance, or related field (Master’s degree preferred)
- 10+ years of progressive experience in Enterprise Data Architecture and Master Data Management (MDM)
- 5+ years of hands-on experience with SAP S/4HANA, with a proven track record of serving as the Data or Architecture Lead on at least one completed, full-lifecycle ECC to S/4HANA migration
- Deep technical knowledge of SAP MDG, SAP BTP (Integration Suite), and SAP Datasphere
- Strong proficiency in SAP Activate methodology, Fit-to-Standard delivery, and Clean Core compliance
- Mastery of SAP Simplification Lists, ABAP Cloud extensibility models, and CDS Views for data exposure
- Strong understanding of ERP data structures, with specific expertise in the SAP Finance data model (Universal Journal, G/L, Cost/Profit Centers), alongside Material and Business Partner models
- Expert-level knowledge of data profiling tools, data lineage, and ETL/ELT data pipelines.
- Candidates must possess at least one of the following industry-recognized certifications: SAP Certified Application Associate - Master Data Governance (SAP MDG) or Certified Data Management Professional (CDMP) (Master or Practitioner level).
Benefits:
- Health insurance
- 401K match (up to 7.5%)
- Wellness reimbursement program
- 15% discount on company stock
- Adoption, fertility and surrogacy support up to $30,000
- Employee Resource Groups focusing on diversity and inclusion
Similar Jobs
Lead Data Engineer
Lead Data Engineer responsible for developing AI-driven data pipelines and infrastructure. Collaborate with the CTO and build a team within a fully remote environment.
Data Engineer
Data Engineer responsible for building data pipelines and ensuring data quality for analytics. Collaborating with cross-functional teams to support enterprise decision-making in a remote setup.
Senior Data Engineer, DataBricks, Data Privacy – LGPD
Senior Data Engineer supporting Databricks integration with focus on data privacy and governance. Working with cross-functional teams to ensure compliance with LGPD requirements.
Senior GenAI Data Engineer, Databricks
Data Engineer specializing in AI applications for a fast-growing advertising tech company. Building data pipelines and enhancing data reliability while collaborating with cross-functional teams.
Senior Data Science Engineer
Sr Data Science Engineer at LegitScript developing ML models for risk detection and prioritization. Collaborating on data pipelines and production-ready APIs in a flexible work environment.
Director, Data Engineering – Business Applications
Director of Data Engineering and Business Applications at FOCUS overseeing data pipelines and application management. Collaborating with C-level executives to align data infrastructure with strategic growth objectives.
Enterprise Architect – Data Management
Enterprise Architect tackling complex data challenges and shaping integration across the enterprise. Leading technical direction to improve outcomes and operational efficiency.
Director, Data Engineering – Business Applications
Director, Data Engineering responsible for enterprise data engineering and business applications at PEAK6. Collaborating with leaders to align data infrastructure with strategic objectives.
Senior Data Engineer
Senior Data Engineer responsible for building real-time data capabilities and infrastructure at DraftKings. Collaborating with various teams to optimize data solutions and drive innovative AI experiences.
Data Engineer III
Experienced Software Engineer role at Kimedics, LLC, focusing on healthcare staffing. Independently design complex features and mentor junior engineers within the team.
Data Engineer
Data Engineer responsible for developing Azure-based data pipelines and analytics solutions. Collaborating with global teams and delivering data-driven decision-making support at SCIEX.
Software Engineer – Data Platforms
Software Engineer designing and building data engines for TV and advertising data at smartclip. Ensuring systems are scalable and leading automation with cutting-edge tools.
Data Engineer
Data Engineer responsible for establishing data infrastructure and supporting analytics at fintech company Overflow. Collaborating with various teams to ensure reliable access to metrics and data governance.
Data Engineer
Data Engineer optimizing data estate and monitoring ETL processes for digital marketing sector. Collaborating on architecture migration and data analytics projects to enhance performance.
Senior GCP Data Engineer
Senior Data Engineer in healthcare focusing on Google Cloud Platform and scalable data solutions. Developing data pipelines and optimizations using GCP tools and best practices.
Senior Consultant II, Applied Machine Learning, Data Engineering
Applied Machine Learning Engineer Senior Consultant II developing AI-driven data pipelines and solutions. Support data automation initiatives to enhance operational efficiency and data quality.
Data Engineer – Fintech
Data Engineer developing scalable data solutions for the fintech sector at Hypoport. Responsible for end-to-end data product ownership and cross-functional collaboration.
Staff Data Engineer
Founding Data Engineer at Payabli developing data systems and pipelines for payments infrastructure. Owner of data reliability and architecture decisions critical to the platform's analytics and ML efforts.
Data & AI Engineer – Microsoft Fabric
Senior Data Engineer with deep expertise in Microsoft Fabric and AI integration at Reply. Delivering end-to-end data solutions and building large-scale data pipelines.
Data Engineer
Data Engineer designing, building, and optimizing scalable healthcare data solutions leveraging Microsoft Azure ecosystem. Focus on ingestion, transformation, modeling, and delivery of complex datasets.