Holland & Knight LLP

Marketing

• Maintain the daily processing of the firm’s Marketing Database (InterAction)
• Ensure the overall quality of data by examining and processing contact data changes
• Perform daily data quality control procedures, including review and approval of data change management requests
• Monitor the flow of data between InterAction, IQ, and other databases
• Perform and educate InterAction data imports and exports related to Marketing projects
• Provide InterAction project support and assist with developing best practices
• Coordinate and implement data updating for auto-replies/bouncebacks
• Produce and maintain InterAction reports
• Educate and support InterAction users and act as a CRM subject matter expert
• Suggest ways to enhance the marketing database for increased usage
• Perform QA testing related to any software upgrades

Senior Marketing Database Specialist

Analytics Engineer

• Support the design, development, and maintenance of data platforms
• Configure and maintain data warehouse / lakehouse and related code base and schemas for the firm, including integrations with Finance, HR, Marketing, and other firm-related database applications
• Develop, document, and maintain key data integration processes in support of projects and ongoing services
• Provide data integration services in support of local and hosted environments for enterprise applications including the use of APIs and other connection methods
• Design, implement and maintain scalable and reliable data pipelines, data quality and transformation processes, and databases to support a variety of data and analytics needs
• Design and implement scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services
• Manage and optimize data storage using Azure Data Lake Storage and Azure SQL Data Warehouse
• Develop data models and maintain data architecture to support data analytics and business intelligence reporting
• Ensure data quality and consistency through data cleaning, transformation, and integration processes
• Proactive monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance
• Collaborate with data scientists, business analysts, and other stakeholders to understand data requirements and implement appropriate data solutions
• Implement data security measures, including encryption, access controls, and auditing, to protect sensitive information
• Automate data pipelines and workflows to streamline data ingestion, processing, and distribution tasks
• Support the appropriate sourcing, evaluation, selection, and utilization of data engineering tools, particularly emerging artificial intelligence-enabled products
• Support the custom development and implementation of proprietary Machine Learning, LLM and AI enabled products, including the selection and engagement of solutions partners, development of grounding, RAG, vectorizing, and related technical protocols and procedures
• Support to use-case evaluation and product design and implementation
• Optimize data processing systems to enhance performance, improve reliability and optimize cost
• Participate in cross-functional relationships with software engineers, solutions engineers, and other business stakeholders to collaboratively create solutions, development standards, and support business processes
• Partner with the broader Data Strategy team in the development and maintenance of a comprehensive and up-to-date data catalog by overseeing the capture of end-to-end data flows and the creation of source-to-target documentation, ensuring a detailed and accessible repository that enhances data understanding and transparency across the organization
• Support a culture of excellence in data transformations and clear schema design, ensuring alignment with operational and analytical business requirements
• Ensure our data architecture is secure and compliant per company policies and industry standards
• Support information and data governance roles in applying appropriate firm policies
• Collaborate among a team of data engineers and liaise closely with data solutions analysts and database administrators with a strong focus on high-quality solution delivery and team culture
• Partner with IT staff, vendors, and other third parties to address system-level technical issues, manage internal and external integrations, and implement upgrades and enhancements
• Support data and intelligence solutions teams as we establish COE and best practices for analytics and data dashboard and application design and development
• Develop standard metrics reporting and analyze trends to measure the quality and quantity of data maintained within the data platform
• Contribute to standard configuration documentation and related guides for data consumers
• Collaborate to design end-user training, onboarding, and user adoption programs and communications
• Special projects and duties as assigned

Senior Marketing Database Specialist

Data Solutions Engineer