Data & AI Engineer, Destination Technology
hace 2 días
West Palm Beach
Job Description SUMMARY The Data & AI Engineer, Destination Technology & Intelligence is responsible for designing, developing, maintaining, and optimizing the data infrastructure that supports Discover The Palm Beaches’ analytics, marketing technology, customer intelligence, artificial intelligence, partner intelligence, and broader enterprise technology capabilities. This hands-on engineering role builds the pipelines, integrations, data models, services, and automation that connect DTPB’s cloud data environment with enterprise platforms and external data sources. The position uses modern development environments, AI-assisted engineering tools, programming and query languages, APIs, cloud services, and data platforms to efficiently design, test, troubleshoot, and deploy scalable technical solutions. As a member of the Destination Technology & Intelligence team, the Data Engineer works across the organization and with technology vendors and data partners to ensure trusted data can move reliably between systems and be used securely for reporting, activation, advanced analytics, AI-powered applications, partner solutions, and operational workflows. The role helps ensure DTPB’s data environment remains reliable, governed, scalable, and positioned to support evolving business and technology needs. ESSENTIAL DUTIES AND RESPONSIBILITIES • Design, develop, deploy, and maintain production data pipelines, integrations, and transformation workflows across the organization’s cloud data environment and connected enterprise platforms, using modern development environments and AI-assisted engineering tools., • Develop scalable, reusable data models, views, services, and semantic structures that ingest, transform, validate, and deliver data for reporting, dashboards, forecasting, audience intelligence, advanced analytics, artificial intelligence, and operational use., • Support the implementation and migration of major enterprise technology platforms by defining data requirements, mapping and transforming legacy data, validating migrated data, supporting system transition and testing, and ensuring new platforms are effectively connected to the organization’s centralized data environment., • Engineer and maintain customer and marketing data workflows supporting identity resolution, enrichment, segmentation, audience creation, activation, measurement, and other customer intelligence use cases., • Support the implementation and technical delivery of enterprise AI initiatives, including conversational intelligence, intelligent automation, and practical AI use cases, by developing the data services, semantic structures, integrations, workflows, and other technical components required to bring solutions into production., • Support data collaboration initiatives through partner data ingestion, transformation, enrichment, analysis, activation, and secure data exchange., • Establish automated monitoring, validation, testing, and alerting and proactively troubleshoot pipeline failures, data-quality issues, integration problems, latency, source changes, and other production issues affecting downstream systems or reporting., • Optimize data platform architecture, processing, storage, compute utilization, and workflows to improve performance, scalability, reliability, and cost efficiency., • Implement and maintain technical controls supporting data governance, privacy, security, permissions, and appropriate access to organizational and partner data., • Maintain technical documentation, data lineage, semantic definitions, architecture documentation, engineering standards, and reusable development patterns that support scalability, maintainability, and knowledge transfer., • Monitor, manage, and optimize the costs associated with data infrastructure, storage, processing, integrations, and data services while ensuring systems remain scalable, efficient, reliable, and aligned with organizational needs., • Perform other related duties and projects as assigned. QUALIFICATIONS, EDUCATION, AND EXPERIENCE • Bachelor’s degree in computer science, information systems, software engineering, data engineering, analytics, technology, or a related discipline; equivalent relevant professional experience may be considered., • 5+ years of professional experience in data engineering, data platform engineering, analytics engineering, software engineering, or a related technical discipline., • Advanced SQL skills and strong experience working with modern cloud-based data platforms., • Experience designing, building, deploying, monitoring, and maintaining production data pipelines, integrations, and transformation workflows., • Experience working within modern development environments using source control and structured development practices., • Working knowledge of programming, scripting, and query languages used in modern data engineering environments, with the ability to understand, review, troubleshoot, and modify underlying technical solutions., • Experience developing and consuming APIs and integrating enterprise applications, databases, cloud services, file-based sources, and third-party platforms., • Strong understanding of data modeling, transformation, data quality, governance, security, and access management., • Demonstrated ability to independently move technical work from requirements and solution design through development, testing, deployment, monitoring, and ongoing support., • Strong analytical, problem-solving, communication, and collaboration skills with the ability to work effectively with technical and non-technical stakeholders., • Strong organizational judgment, attention to detail, and commitment to quality, accuracy, and ethical data use., • Strategic, systems level thinker with the ability to define problems and build solutions in ambiguous environments., • Ability to collaborate across departments and various organizational functions to develop solutions that meet business requirements and organization objectives PREFERRED EXPERIENCE • Experience with customer data platforms, identity resolution, enrichment, segmentation, audience activation, and marketing technology., • Experience working with marketing, advertising, customer relationship management, web analytics, and other digital data ecosystems., • Experience with modern data transformation, orchestration, automation, testing, and deployment frameworks., • Experience using AI-assisted development and engineering tools to build, troubleshoot, and maintain technical solutions., • Experience developing data architecture, integrations, or services that support AI-powered applications, conversational interfaces, machine learning, forecasting, predictive analytics, or intelligent automation., • Experience with semantic modeling, metadata management, knowledge structures, or preparing governed enterprise data for natural-language and AI-driven access., • Experience with secure data sharing, data collaboration, partner data environments, or external-facing data products., • Experience in destination marketing, hospitality, tourism, or other public-private or multi-stakeholder environments. EQUAL EMPLOYMENT OPPORTUNITY DISCOVER THE PALM BEACHES is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, disability or handicap, sex, marital status, veteran status, sexual orientation, arrest record, or any other characteristic protected by applicable federal, state or local laws. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment. WORK ENVIRONMENT Working conditions are normal for an office environment. Work may require occasional weekend and/or evening work and some business travel. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. OTHER INFORMATION This position description is meant to describe the general nature and level of work to be performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position.