Primary Skills
- ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures
Specialization
- Cloud Data Architecture: Principal Data Engineer
Job requirements
- Location: Fort Lauderdale, Florida (Hybrid)
- Work Model: Onsite 3 days per week
- 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
- Preferred Qualifications:
- Microsoft Azure Solutions Architect certification (nice to have)
- Industry Experience:
- Prior experience in retail, transportation, or supply chain domains is highly preferred
- 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
