Lead enterprise data architecture strategy, design conceptual and implementable data models, define integration and data movement patterns, support master data solutions and governance, produce solution design artifacts, and advise on emerging technologies.
Data Architect
Primary Skills
- Data Warehousing
Specialization
- Cloud Data Architecture: Associate Data Engineer
Job requirements
- What You’ll be Doing: • Assessment and discovery to define enterprise architecture strategy roadmap • Lead and design best-in-class, conceptual data models leading to implementable solution designs across technical ecosystem • Guide planning of data movement and integration patterns across our ecosystem, defining integration standards, reference architectures and tool utilization • Provide leadership and standard methodologies for using native-first connectors over third-party for integrating our various workflows, applications and data • Support master data solution architectures, system landscapes, governance workflows, and systems integration and implementation • Collaborating with business stakeholders and technical teams to understand data management requirements, data quality remediation and challenges, and identify opportunities for the design of a best of breed solution • Produce relevant solution design artifacts including but not limited to technical estimates, conceptual system designs, sequence diagrams, and data models • Act as an advisor for new and emerging technologies, patterns, and trends What You’ll Bring to the Role: Required: • 13+ years of data architecture or integration architecture experience • Experience creating ETL and reverse-ETL patterns and services to handle data from various data sources, formats, and use cases • Demonstrable experience with enterprise-wide architectures, integration, warehousing and highly proficient with relational database design, data streams, data modeling, and SQL • Experience with streaming, batch and micro-batch data processing and workflows • Experience leading enterprise assesment, Data quality roadmaps, and implementation • Hands on experience in advanced SQL, Python, Spark and Azure Technologies • Ability to drive the practical evolution and innovation of infrastructure, processes, products and services by influencing decision makers, implementers, stewards, and owners of what direction should be taken • Should be Master communicator and able to lead team and solutionist problems
Top Skills
Spark
Azure
Batch Processing
Data Modeling
Data Streaming
Data Warehousing
ETL
Micro-Batch Processing
Python
Relational Database Design
Reverse-Etl
SQL
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