DOOR3

• engage directly with client stakeholders to map their current tech stack, understand their business needs, and identify technical limitations.
• specific responsibility for reviewing conceptual UX proposals and design wireframes.
• determine if the vision can be achieved using standard SAP (Fiori/UI5) frameworks or if custom Front-End solutions are required.
• advise on the 'Build vs. Buy' decisions and architecture, ensuring the client invests in solutions that are maintainable and scalable.
• provide high-value input at critical milestones across a 6-month project timeline.

SAP Consultant

Data Engineer

• Build and maintain a medallion architecture (landing/integrated/reporting) on S3 using Apache Iceberg
• Develop and operate data pipelines using dbt-core running against Athena
• Implement ingestion patterns using AWS AppFlow, DMS, and custom Lambda functions
• Design incremental load and merge logic for CDC data streams
• Optimize query performance for BI consumption (partitioning, aggregation, file compaction)
• Build orchestration workflows using Step Functions
• Establish data quality testing, monitoring, and alerting
• Support PowerBI integration and troubleshoot refresh issues
• Document data models and maintain lineage

Senior Data Engineer, AWS Lakehouse

Business Analyst

• Partner directly with client stakeholders to capture needs and decisions, then translate them into clear, testable requirements – user stories, acceptance criteria, business rules, process flows, and functional specs
• Break down epics into right-sized stories, maintain priorities, ensure readiness for development, and keep requirements current as decisions evolve
• Map current and future workflows, identify gaps, define data inputs/outputs, and document validations, exceptions, and edge cases
• Partner with delivery and engineering leads on scope definition, tradeoffs, and estimation; support release planning and incremental delivery
• Help define test scenarios and UAT plans, support defect triage, confirm fixes meet intent, and contribute to training/handoff materials when needed
• Comfortable working with engineering to understand system behaviors and constraints (APIs, integrations, data flows, and non-functional requirements) and translating them into clear, buildable requirements

SAP Consultant

Senior Data Engineer, AWS Lakehouse

Technical Business Analyst