Role Description Manager, IT- Data Engineering role is focused on the core areas of: - Development activities involving projects, enhancements, defects. - Day-to-day operations to ensure business continuity, which also involves managing nightly support for ETL runs. - Team building and performance management involving a team of data engineers. - Lead and manage the team through the transition to cloud based future data platform. This role will be responsible for intimately overseeing data engineering activities related to development (SDLC) and release management. These responsibilities require deep understanding of data design and solutioning and architecture. This role will also drive day-to-day maintenance and upkeep of existing code base and ETL solutions and managing resources who provide nightly support for ETL runs. Finally, Manager IT – Data Engineering will be accountable for continuing performance management, delegation of tasks and accountability, mentorship, and growth of data engineering resources on the team. One key function of this role is liaising with downstream consumers of our data system as well as other technical teams who are either upstream (ERP source systems), downstream (consumer applications, reporting team, business analytics team) or simply provide underlying platform services (infrastructure) to Data Engineering practice. This role is expected to have deep understanding of the various technical aspects of data systems like Data Lake, Operational Datastore, Data Marts and Warehouses as well as hands on familiarity with ERP data topics (customer, sales and invoicing, supplier etc.). Having hands-on experience with cloud-based systems and technologies like Azure Subscriptions, Azure Databricks, Azure DevOps CICD in terms of development and day-to-day operations is critical to function in this role. Any exposure to Terraform is highly desirable. Azure and Databricks Certifications are highly desirable. Qualifications - Hands on expertise in Data systems (Data Lake, ODS, Data Marts, MDM) and attendant technology stack, involving RDBMS systems (SQL Server), ETL tools (SSIS), reporting tools (Power BI), File shares. - Hands on experience with developing and managing cloud-based data platforms, on Azure leveraging key technologies like Azure Data Factory, Azure Databricks, Azure SQL, Azure DevOps CICD, Terraform. - Hands on experience working with Azure DevOps and Jira boards and running agile standups and Kanban boards. - Deep experience overseeing SDLC and release management processes and good documentation practices. - People management skills like mentorship, guidance, performance management, upskilling, conflict resolution, delegation of tasks and overseeing the progress to completion. - Experience organizing effective ETL night support function for business continuity. - Ability to cultivate and effectively manage relationships with external and internal teams, downstream and upstream from Data Engineering practice. - Great written and oral communication skills. - Project management skills for coming up with accurate and realistic timelines and level of effort for effective resource utilization for projects, enhancements, and defect resolutions. - Familiarity with ERP systems and underlying data topics spanning Customer, Products, Sales and Invoicing, Orders, Employee, SalesRep etc. - Experience with SAP Basis is highly desirable. - Ability to act as a stand in Techlead and provide solutioning and architectural guidance. - Relevant certifications on Azure and/or Databricks ecosystem. - Bachelor's degree from an accredited college/university. - 7+ years relevant work experience. - Or an equivalent combination of education and experience. Requirements - Leads small group of Data Engineers, follows defined operating model and framework to guide team’s processes. - Defines scope for project and program opportunities and creates project plans, including resource needs and timelines. - Accountable for delivery and execution of defined deliverables. - Partners with senior team members on day-to-day operations including staffing and tracking project status; course corrects for shifting priorities. - Leverages expertise to solve a range of strategic business problems through dynamic and complex analysis. - Ensures data quality through proactive monitoring and review of security policies, governance, and data sovereignty. - Manages the development, improvement and scaling of appropriate data architecture and pipelines to store, analyze and process high volume data sets. - Collaborates with data scientist(s) to resolve business problems and recommend optimal data sources, methodologies, and analytic tools. - Oversees writing of functional clean code and performs unit testing. - Manages team in design of reporting and visualization tools for communicating data insights to organization/clients. - Influences, persuades, and negotiates with mid to senior level management for successful implementation of data initiatives, prioritization, and resources allocation. Benefits - Medical, dental, vision, and disability insurance plans. - 401(k) retirement savings plan. - PTO (including paid sick time). - 8 paid holidays per year (for salaried and hourly team members).

• Lead and develop a small team of software development engineers, including coaching, career development, performance management, and fostering a high-performing and collaborative team environment, while hiring and building the team over time. • Contribute directly as a hands-on software development engineer by designing and implementing scalable backend systems, services, and web applications that power ExpertVoice web and mobile experiences. • Lead architecture and system design for scalable software systems, setting a high technical bar for system design, code quality, and engineering practices across the team. • Own the quality, performance, and reliability of systems delivered by the team, holding engineers accountable for validating their work through strong automated testing and development practices. • Partner with engineering leadership to evolve testing and development practices toward a more shift-left model, where quality is integrated into development workflows through validation at appropriate layers, effective code reviews, and production feedback loops. • Improve engineering productivity and developer experience by evaluating and optimizing modern development tools, and continuously assessing emerging AI technologies for their impact on engineering workflows, productivity, and software quality. • Lead the adoption of AI-first development practices by coaching engineers on effective use of AI tools, identifying high-impact use cases, establishing best practices, and driving changes to development workflows to fully integrate AI into the software development lifecycle. • Drive successful delivery of engineering work by providing technical leadership, planning and prioritizing work, and collaborating on resource allocation across projects, ensuring predictable delivery of high-quality software within an Agile/Scrum environment. • Collaborate with product, UX, and engineering to design solutions, clarify requirements, and deliver features aligned with business goals. • Collaborate with other engineering teams to align architectural decisions, share best practices, and drive improvements to the overall engineering platform and development processes.

• Supervisar la entrega de software, asegurando que los estándares de calidad y plazos se cumplan. • Colaborar con stakeholders para alinear expectativas y comunicar avances. • Gestionar el backlog junto al Product Manager, dividiendo épicas en historias y estableciendo roadmaps y metas técnicas. • Asignar y equilibrar la carga de trabajo del equipo, mejorando la capacidad y rendimiento de las Squads. • Impulsar una cultura de equipo positiva y apoyar el desarrollo técnico de los miembros.

• You will own, build, and run your startup in fields such as Consumer AI. • You will embark on an extensive personal development journey crafted by unicorn founders. • You will receive support in hiring through our network. • You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively.