This role is ideal for someone who thrives at the intersection of data management and business intelligence, helping organizations build reliable, traceable, and governed data pipelines that support impactful analytics. You'll help lay the groundwork for scalable, enterprise-wide reporting by partnering with data owners, stewards, and business users. You'll focus on the foundational work required before visualization βensuring clarity, consistency, and trust in the data.
Job listings
We are seeking an experienced MDM (Master Data Management) Architect to design, implement, and govern enterprise-wide MDM strategy. The ideal candidate will have deep expertise in MDM platforms, data governance, and data quality management, ensuring accurate and consistent master data across the organization
Serves as a technical expert and strategic partner responsible for designing, developing, and maintaining advanced data architectures and processing systems that support the National Park Serviceβs mission. This role oversees the full data lifecycle from requirements capture and database design to the creation and optimization of complex data pipelines. The position involves working with large and diverse datasets.
Collaborate with stakeholders for MDM, define data quality requirements, & design reliable and scalable MDM solutions for International Commercial projects. Define new data entity requirements & cooperate with business teams in Data Governance. Evaluate & recommend MDM architecture, continuously improve solutions, & resolve project hurdles. Manage MDM roll outs, partner with Data & Analytics teams, & ensure high data quality.
Horizon3.ai is looking for a Business Intelligence Developer to join our Business Intelligence (BI) team and help build a world-class data ecosystem that enables smarter decision making across the organization. As a BI Developer on the BI team, you will collaborate with stakeholders across the company to design and maintain robust, scalable data warehouse infrastructure. You will ensure that high-quality data is readily accessible to power dashboards, analyses, and advanced analytics efforts.
As a Senior Engineering Manager at Globalization Partners, you will be responsible for both technical leadership and people management, contributing to architectural discussions, decisions, and execution, as well as managing and developing a team of Data Engineers. Own the strategic direction and execution of initiatives across our Data Platform , aligning technical vision with business goals.
As a Senior Data Engineer focused on Data Quality Assurance, Data Governance & Compliance, you will work alongside the team to implement data quality practices, define data governance policies, and ensure compliance with data privacy regulations. Youβll help automate testing, monitor data quality, and enforce best practices for handling customer data.
The Business Analyst will play a key role in connecting data consumers with source systems (ERP, HRIS, CRM) and our enterprise analytics platform (PRISM). They will help translate business needs into analytical solutions, support the development of dashboards and reports, and promote self-service analytics (SSA) capabilities across Sales Operations, Finance, HR and Operations.
Construct the data architecture and implement solutions to meet Finalis' needs and requirements. Develop and optimize data pipelines to ingest into Snowflake, ensuring efficient and accurate data flow. Monitor and maintain users and pipelines, ensuring data integrity and system performance. Collaborate with analysts to capture business requirements and build an enterprise data model. Drive the implementation of data governance, architecture, and negotiation skills. Work with the BI Lead to align with long-term goals and deliver quick wins for added value.
This role leads Hungryrootβs centralized data function, responsible for data engineering, data governance, and business intelligence infrastructure and owns the foundation that enables data-driven decision making across the organization, ensuring data integrity, accessibility, and security while building scalable platforms for analytics consumption. This position represents a critical component of our consolidated analytics strategy.