Lead Data Engineer

We're a hard-working team of tech enthusiasts and professionals on a mission to reshape the future. We've got everything from pioneering projects that challenge your skills to an encouraging and inclusive work environment that fuels your growth. Plus, we offer unparalleled opportunities for professional development, empowering you to stay at the forefront of the ever-evolving tech landscape.

We are seeking a Lead Data Engineer proficient in developing and managing a Microsoft Azure cloud data platform. You will create and maintain optimal data pipeline architecture, assemble large complex data sets, build analytics tools, work closely with stakeholders, and facilitate cross-team communication to ensure seamless coordination.

This opportunity requires the candidate to be on-site in our Fort Lauderdale office.


Your future duties and responsibilities
• Responsible for the development and management of a Microsoft Azure cloud data platform leveraging Azure Data Lake Storage Gen2, Azure Synapse Analytics, and Azure Data Factory
• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Create and maintain the current and target state data integration flows
• Perform Data and Gap Analysis as required for discovery, feasibility and ad-hoc project needs
• Develop an understanding of business processes and the system architecture sufficiently to determine source system of required data and impacted integration(s)
• Participate in architectural discussions with data delivery impacts and contribute to the assessment of solution alternatives
• Effectively communicate the technical data integration requirements, design and decisions that support the functional needs of Data Engineering to applicable parties both verbally and through documentation Ensure cross-team communication and coordination of data requirements that impact or span across multiple Data Engineering workstreams
• Responsible for the creation and maintenance of project data integration deliverables including data mappings and data profiling Ensure field-level data requirements are properly captured to support business needs and enhancements Ensure documentation includes appropriate business rules and facilitates data quality, integrity and harmonization
• Facilitate and lead meetings across teams to mediate data usage questions, refine data requirements and address data quality concerns; participants may include - Source System Owners, Subject Matter Experts, Data Engineering Stakeholders, Product Owners, Project Analysts, Integration Developers, QA members and end users


Required qualifications to be successful in this role
• Bachelor’s Degree in Computer Science or a related discipline
• Minimum of 5-7 years of data warehousing, data lifecycle management, and computer programming experience
• MS Azure: Azure Data Lake Store, Azure Synapse
• Azure Data Factory/SSIS or related tool
• Business visualization tools, Semantic Layer – Views and Dimensional Modeling – Power BI knowledge is a plus
• Experience in database design and data modeling
• Experience with structured query language (SQL)
• Strong learning orientation and curiosity; comfortable learning new systems/software applications
• Strong analytical thinking skills and problem-solving skills
• Excellent written and oral communication skills