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
- Data Architect establishing technical vision for data landscape at Arc'teryx. Leading design of scalable, integrated data systems for decision-making across the organization.
Responsibilities
- Establish the technical vision for our data landscape
- Lead the design of scalable, integrated data systems
- Create architectural blueprints balancing business needs with technical excellence
- Guide cross-functional teams through complex technical decisions
- Drive the evolution of our data ecosystem
- Collaborate with technical and business leaders to align data architecture with strategic objectives
- Navigate challenges of integrating diverse data sources
- Ensure data quality, security, and governance across systems.
Requirements
- 10+ years of experience in data architecture, data engineering or related fields
- Deep expertise in enterprise data modeling, system integration, and architectural patterns
- Experience designing data architectures across operational and analytical domains
- Strong knowledge of data governance, metadata management, and data quality frameworks
- Experience with Azure Databricks, Power BI, and SAP Business Data Cloud including BW and Datasphere, or equivalent tools
- Excellent communication skills with the ability to explain complex technical concepts
- Experience guiding cross-functional teams through architectural decisions
- Proven track record of aligning technical solutions with business objectives
- Highly flexible and adaptable when faced with ambiguity
- Effectively balance autonomy and collaboration across diverse stakeholders.
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