Data Engineering Developer building scalable Azure data pipelines for an agile tech development firm. Advising clients, implementing governance, and improving cloud data engineering standards.
About the role
- Manager of Data Management & Architect leading BrokerLink’s enterprise data architecture and management practices. Collaborating with stakeholders to ensure scalable and secure data solutions.
Responsibilities
- Own BrokerLink's enterprise data architecture strategy, standards, design patterns, and reference models
- Establish, implement, and enforce enterprise data standards, controls, and governance practices
- Lead, coach, and develop internal data professionals while providing direction to outsourced resource augmentation teams
- Translate business objectives, reporting needs, and operational requirements into scalable data architecture solutions
- Develop conceptual, logical, and physical data models that support analytics, integration, operational reporting, and data product development
- Guide the design of data platforms, data pipelines, data marts, warehouses, lakehouse patterns, metadata structures, and integration frameworks
- Partner with business and technology stakeholders to define data ownership, stewardship responsibilities, data definitions, and governance processes
- Manage vendor and partner performance to ensure outsourced teams deliver against expected quality, timelines, security standards, and business outcomes
Requirements
- 7+ years of experience in data architecture, data management, data engineering, analytics, business intelligence, enterprise technology, or related disciplines
- 3+ years of experience leading people, technical teams, delivery partners, or complex data initiatives
- Strong understanding of enterprise data architecture, data modelling, data integration, data warehousing, data lakehouse patterns, metadata management, and data governance
- Experience designing and implementing scalable data platforms, data pipelines, reporting foundations, and analytics-ready data structures
- Working knowledge of cloud data platforms, relational and non-relational databases, ETL/ELT practices, APIs, data security, access management, and privacy considerations
- Experience with modern data tools and platforms such as Databricks, Azure Data Lake, Azure Synapse, Microsoft Fabric, Power BI, SQL Server
- University degree or college diploma in Computer Science, Information Technology, Data Management, Engineering, Business Technology, or a related discipline, or equivalent professional experience
Benefits
- Flexible work arrangements
- Multiple benefits offered to support physical and mental wellbeing
- Wellness account
- Share plan & other savings
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