• Own one or more data engineering workstreams, from technical design through production deployment and handoff. • Design and implement scalable data models and lakehouse architectures, including medallion patterns where appropriate. • Optimize performance and cost across Databricks and the underlying cloud: you treat compute spend as your problem, not someone else's. • Orchestrate workflows using Databricks Workflows, Delta Live Tables, or equivalent tooling. • Implement governance, security, observability, and lineage with Unity Catalog, and stand up CI/CD for data. • Design and build AI-ready data platforms that enable reliable analytics, machine learning, and agentic applications. • Work directly with client stakeholders to gather requirements and translate them into technical solutions. • Review code, mentor junior engineers, and maintain high engineering standards across your workstreams. • Contribute reusable accelerators, frameworks, and best practices back to the practice.

Role Description International Highlight is growing fast, and with that growth comes data — a lot of it. We’re looking for a focused, organized individual to assist with gathering, logging, and maintaining engagement and performance information across various platforms. You’ll work closely with our Data Manager to ensure accuracy, timeliness, and clear communication between teams. This role is great for those who are detail-oriented and eager to learn how real brand data flows behind the scenes. - Track and input daily engagement metrics using provided templates. - Maintain clean and consistent data records for active campaigns. - Identify inconsistencies and report them to the Data Manager. - Collaborate with other support roles to ensure deliverables are met on schedule. Qualifications - Detail-oriented. - Eager to learn about brand data. Requirements - Ability to work closely with the Data Manager. - Strong organizational skills. Benefits - Flexible remote schedule with consistent weekly goals. - Experience working directly with brand performance systems. - A supportive team focused on growth, clarity, and execution.

• Own the enterprise data architecture for the ECC → S/4HANA transition, defining principles, reference architectures, and guardrails for data domains (Finance, Supply Chain, Order‑to‑Cash, Procure‑to‑Pay, etc.). • Design the bridge reporting strategy that harmonizes ECC and S/4HANA datasets to produce consistent KPI definitions and cross‑system analytics (e.g., consolidated financials, inventory, order fulfillment), including semantic layers and data virtualization/replication as appropriate. • Model canonical and system‑specific data (conceptual, logical, physical) and establish golden sources, conformed dimensions, data standards, and naming/versioning conventions. • Define integration patterns (e.g., SLT/ODP/CDC, APIs, files, events) between SAP and the analytical stack, balancing latency, cost, reliability, and data quality. • Enable analytics & planning in SAP Analytics Cloud (SAC)—curate models, measures, and calculations; design security and data‑access patterns; guide dashboard/story design standards. • Oversee ETL/ELT pipelines using SAP BusinessObjects Data Services (BODS) and modern orchestration patterns; define error handling, lineage, and observability. • Create and maintain architecture artifacts (capability maps, value streams, domain models, roadmaps, standards) aligned to TOGAF ADM phases A–D and communicate them to technical and business stakeholders. • Coach delivery teams and provide architectural reviews to ensure solutions conform to strategy while meeting near‑term milestones during the phased migration.

• This candidate will be responsible for contributing to the Global Build of a Greenfield S4 implementation with a focus on data cleansing and data migration. • Responsibilities will include identifying prework activity which can and should be performed in our existing ECC environments, as well as managing the overall process of data migration to the new S/4 System. • The individual will leverage a strong technical background to troubleshoot complex issues and make recommendations for strategic changes to our landscape to improve the reliability and accuracy of existing solutions. • This position will require collaboration with a cross functional Digital Technology and Business team to develop and execute DT solutions in the data domain. • Identify data cleansing opportunities pre-migration. • Identify data migration objects needed to transition to S/4. • Oversee mapping of ECC to S/4. • Lead data validation effort as part of Mock and Go-live cutover.