• Own and deliver impactful data products within WSI’s medallion architecture. • Transform raw and conformed data into governed, high-quality datasets for analytics, AI, and operational use. • Design, build, and optimize data solutions on Microsoft Fabric, including pipelines, Lakehouse/Warehouse structures, PySpark notebooks, and semantic models. • Evolve and implement data architecture patterns (medallion, SCD, CDC, orchestration, CI/CD), adapting them to real-world scale, performance, and business needs. • Ensure data quality, observability, and performance at scale. • Implement validation frameworks, monitoring, SLAs, and cost-optimized storage and compute strategies. • Partner with stakeholders to translate requirements into reusable, scalable data models and curated data products. • Drive consolidation of legacy reporting and BI tools into a unified, governed analytics platform. • Embed security, governance, and best practices, including role-based access, cataloging, and release management. • Act as a technical leader, contributing to standards, mentoring peers, and elevating overall engineering quality. • Leverage modern dev tools (e.g., GitHub Copilot or similar) to accelerate delivery and engineering efficiency.

• Develops batch integration solutions for ABC Supply. • This includes traditional DW workloads and nightly large extracts that are scheduled. • Design and Build Data models – star schema, snowflake • Create ADF pipelines to bring new data from various sources • Create Data bricks notebooks for Data transformation • Documents all solutions as needed using ABC standard documentation. • Plans, reviews, and performs the implementation of database changes for integrations/DW work. • Maintain integration documentation and audit tools. • To include developing/updating the integration dashboard. • Work with BI team, PO to build required tables and transform data to load into Snowflake • Provides support for database/database servers as a member of the Data Management team. • Works with project management and business analysis team to provide estimates and ensure documentation of all requirements. • Provide logical layers (database views) for end-user access to data in database systems. • Partners with functional support and help desk teams to ensure communication, collaboration and compliance with support process standards at ABC. • Performs data management tasks as needed.

• Responsible for designing and developing data processing and data persistence software components for solutions which handle data at scale • Develop data processing software primarily for deployment in Big Data technologies • Encompasses the full software lifecycle including design, code, test and defect resolution • Work with Architects and Lead Engineers to ensure the software supports non-functional needs • Collaborate with colleagues to resolve implementation challenges and ensure code quality and maintainability remains high • Leads by example in code quality • Work with operations teams to ensure operational readiness • Advise customers and managers on the estimated effort and technical implications of user stories and user journeys • Coach and mentor team members

Role Description A Data Management Manager is responsible for leading enterprise data strategy, governance, and transformation initiatives in a fast-paced, client-driven environment, ensuring data integrity, accessibility, and compliance while supporting large-scale system implementations and business process improvements. - Required Travel: 20% - All interviews will be held on Microsoft Teams Video Key Responsibilities - Data Strategy & Transformation: Lead data initiatives tied to system implementations, migrations, and process improvements to align with business objectives. - Data Governance & Compliance: Establish and enforce data standards, policies, and controls to ensure accuracy, security, and regulatory compliance. - System & Integration Oversight: Partner on ERP and data platform implementations (e.g., NetSuite, SAP, Oracle), ensuring seamless data flow and structure. - Data Quality & Migration: Oversee data cleansing, validation, and migration efforts during system transitions or upgrades. - Stakeholder Collaboration: Work cross-functionally with finance, operations, and IT teams to translate business needs into scalable data solutions. - Client/Project Leadership: Manage multiple projects simultaneously, providing guidance, timelines, and deliverables in a consulting-style environment. Qualifications - Education: Bachelor’s degree in Information Systems, Data Management, Finance, or related field. - Experience: 5+ years in data management, ERP implementations, or business transformation environments. - Technical Skills: Strong experience with SQL, ERP systems (NetSuite, SAP, Oracle), data warehousing, and reporting tools (Power BI, Tableau). - Project Management: Proven ability to lead complex, cross-functional projects with multiple stakeholders. - Communication: Strong ability to translate technical concepts into business insights and recommendations. Requirements - Common Performance Metrics: - Accuracy and success rate of data migrations and system implementations - Data quality, consistency, and governance adherence - Project delivery timelines and stakeholder satisfaction - Improvement in reporting efficiency and business decision-making speed Benefits - 401(k) matching - Competitive salary - Dental insurance - Health insurance - Opportunity for advancement - Paid time off - Training & development - Vision insurance Company Description This is a remote position.