Data Architect

Key skills:

• Must be Azure Data Fundamentals certified
• Strong experience with ETL processes, data transformation tools, and techniques
• Expertise in data processing techniques
• Experience with event-driven architectures
• Strong understanding of data platforms, including data lakes, data consumption, and predictive data solutions

• Microsoft Azure Solutions Architect certification (nice to have)

• Prior experience in retail, transportation, or supply chain domains is highly preferred
• Location: fort Lauderdale, Florida (Hybrid)
• Work Model: Onsite 3 days per week

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