
1001 - 5000 employees
🤝 B2B
☁️ SaaS
🏢 Enterprise
B2B • SaaS • Enterprise
Hyland is a company that provides a collaborative community platform for its customers and partners, offering access to resources such as products, solutions, and updates. The platform enables users to share feedback, ask questions, and connect with each other, fostering operational knowledge and organizational value. Hyland Community aims to enhance user experience by facilitating interaction between experts and community members.
🔥 0 minutes ago
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1001 - 5000 employees
🤝 B2B
☁️ SaaS
🏢 Enterprise
B2B • SaaS • Enterprise
Hyland is a company that provides a collaborative community platform for its customers and partners, offering access to resources such as products, solutions, and updates. The platform enables users to share feedback, ask questions, and connect with each other, fostering operational knowledge and organizational value. Hyland Community aims to enhance user experience by facilitating interaction between experts and community members.
• Design and maintain enterprise data architecture, including data models, integration patterns, and platform standards across cloud and on-prem environments • Lead architecture for complex data initiatives involving data lakes, data warehouses, streaming platforms, and analytics ecosystems • Define, document, and enforce data architecture standards, best practices, and reference architectures • Partner with Data Engineering, BI, AI/ML, and Product teams to translate business requirements into analytics solutions, reports, dashboards, and data products • Perform deep-dive data analysis, troubleshoot data quality and pipeline issues, and resolve data integrity gaps within Microsoft Fabric • Manage analytical transformation logic and data models using dbt or ADF • Embed security, privacy, and governance requirements into architecture designs • Lead conceptual, logical, and physical data modeling for analytical and enterprise use cases • Provide technical leadership and mentorship to architects and engineers • Review solution designs and implementations • Support performance optimization, cost efficiency, modernization, and data quality improvement initiatives • Mentor, coach, train, and provide feedback to team members
• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field—or equivalent practical experience • 6–8+ years of experience in data engineering, data architecture, or analytics platform roles • Experience designing and implementing enterprise-scale data platforms across cloud and on-prem environments • Experience with Microsoft Fabric, including OneLake, Lakehouse, Data Warehouse, Pipelines, and Power BI • Strong SQL and advanced conceptual, logical, and physical data modeling expertise • Experience with data warehousing, data lakes, data integration/orchestration tools, and modern ELT/ETL frameworks • Strong hands-on experience with dbt Cloud or dbt Core, including model development, testing, documentation, and deployment • Demonstrated root-cause analysis, debugging, dataset validation, and data quality resolution skills • Familiarity with Snowflake, Databricks, BigQuery, or Synapse • Knowledge of data governance, privacy, lineage, access controls, compliance, systems administration, and Microsoft operating systems/products • Strong communication, facilitation, presentation, leadership, collaboration, organizational, analytical, and problem-solving skills • Microsoft Windows and Office proficiency • Strong Microsoft Excel skills • Ability to manage projects independently and collaboratively in fast-paced, deadline-driven environments • Ability to mentor, coach, train, and provide timely feedback • Up to 10% travel required; an earlier section states up to 15% travel time required
• Career development resources • Wellbeing programs • Innovation practices • Employee initiatives and community giving campaigns/programs • Benefit packages (details to be shared by recruiter)
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