Data Solutions Engineer

Holland & Knight • Tampa, FL

1d • Onsite

About The Position

The Data Solutions Engineer supports the development and management of the Firm’s data warehouse/lakehouse, data analytics platforms, and related processes. The role contributes to implementation and ongoing support of cloud data systems and analytics tools, working with technology, knowledge, business services, and practice teams to identify operational data and analytics needs, plan and implement data platforms, and provide ongoing service, support, and enhancements. Within the Data Strategy function, the Engineer partners closely with Information Technology and data and intelligence solutions teams, contributes to digital transformation programs, and provides technical and business-process support while serving as a contact for internal teams, vendors, and consultants.

The role designs, develops, maintains, and optimizes data platforms, pipelines, integration processes, databases, models, and architecture. It uses Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL Data Warehouse, and related Azure services to support data ingestion, processing, analytics, and business intelligence. It also supports machine learning, LLM, and AI-enabled products; data governance and security; documentation and data cataloging; reporting; and user training and adoption. The position may be based at the Firm’s global operations center in the Tampa Bay area or its Dallas office.

The position requires a bachelor’s degree in a relevant field and at least five years of experience in a law firm, corporate legal department, or professional services environment, as well as at least five years of direct data-management experience. A master’s degree or related coursework is strongly preferred. The role requires sitting or standing for extended periods and moderate or advanced keyboard use.

Requirements

• Bachelor’s degree in a relevant field.
• At least 5 years of experience in a law firm, corporate legal department, or professional services environment, particularly within an innovation or knowledge management function.
• At least 5 years of direct data-management experience, such as building data pipelines, database administration, data engineering, or data sciences.
• Excellent written and verbal communication, organizational, teamwork, customer service, and critical-thinking skills.
• Excellent proficiency in business intelligence, data warehousing, application development, and data visualization.
• Strong knowledge of the legal technology landscape, including trends, tools, and industry standards.
• Extensive experience with legal technology, workflow systems, legal project management, and practice management tools.
• Deep understanding of law firm structure and business practices, practice-specific terminology, and a broad array of legal practices including transactional, litigation, and regulatory.
• Expert-level knowledge of SQL Server and its Microsoft stack, including SSMS, SSIS, SSRS, SSAS, and PowerShell.
• Expert knowledge of scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services.
• Expert knowledge of managing and optimizing data storage using Azure Data Lake Storage and Azure SQL Data Warehouse.
• In-depth knowledge of database systems, data warehousing concepts, data modeling, and data management, process, and system design in a legal or professional services firm.
• Strong proficiency in programming languages such as Python and data processing frameworks such as Airflow.
• Proficiency with .NET and comparable developer tools.
• Exceptional proficiency with MS Office and the Power Platform, particularly for analyzing and communicating data-related concepts.
• Experience leveraging automation and AI technologies, such as machine learning and LLMs, to drive innovation in legal services.
• Proficiency in cybersecurity best practices and compliance requirements in the legal industry and for clients such as financial and governmental institutions.
• Ability to develop collaborative relationships with business teams, lawyers, firm administrative departments, and vendors.
• Demonstrated ability to support multiple complex assignments with competing deadlines and priorities.
• Experience supporting projects from inception through planning, execution, and delivery.
• Ability to sit or stand for extended periods and perform moderate or advanced keyboard use.

Nice To Haves

• Master’s degree or related coursework is strongly preferred.
• Experience with and willingness to learn more about Microsoft OneLake, Fabric, Power, and related concepts and applications.

Responsibilities

• Support the design, development, and maintenance of data platforms, including the Firm’s data warehouse/lakehouse, code base, schemas, and integrations with Finance, HR, Marketing, and other firm-related applications.
• Develop, document, and maintain data integration processes for projects and ongoing services, including integrations for local and hosted enterprise applications using APIs and other connection methods.
• Design, implement, and maintain scalable, reliable, and secure data pipelines, databases, data quality processes, and transformations for analytics and business intelligence needs.
• Use Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL Data Warehouse, and other Azure services to build pipelines and manage data storage and processing.
• Develop data models and maintain data architecture for analytics and business intelligence reporting.
• Clean, transform, and integrate data to ensure quality and consistency; monitor and troubleshoot Azure data systems to maintain availability and performance.
• Collaborate with data scientists, business analysts, stakeholders, software engineers, solutions engineers, and other teams to understand requirements and deliver solutions.
• Implement data security measures, including encryption, access controls, and auditing, and ensure architecture complies with company policies and industry standards.
• Automate data pipelines and workflows for data ingestion, processing, and distribution.
• Support evaluation, selection, and use of data engineering tools, particularly emerging AI-enabled products; support custom machine learning, LLM, and AI product development, including partner engagement and technical protocols such as grounding, RAG, and vectorizing.
• Support use-case evaluation and product design and implementation; optimize data systems for performance, reliability, and cost.
• Contribute to data catalog maintenance by documenting end-to-end data flows and creating source-to-target documentation.
• Promote high-quality data transformations and clear schema design aligned with business requirements, and support information and data governance roles in applying firm policies.
• Work with IT staff, vendors, and third parties to resolve technical issues, manage integrations, and implement upgrades and enhancements.
• Support the establishment of centers of excellence and best practices for analytics, dashboards, and application design and development.
• Develop standard metrics reporting and analyze trends to measure the quality and quantity of data in the platform.
• Create configuration documentation and guides for data consumers, and collaborate on end-user training, onboarding, adoption programs, and communications.
• Support multiple assignments and projects through planning, execution, and delivery, and perform special projects and duties as assigned.

Benefits

• Comprehensive medical plans, including PPO and HDHP options, with domestic partner coverage.
• Dental and vision plans, including domestic partner coverage.
• Life and AD&D insurance.
• Short- and long-term disability insurance.
• Tax-advantaged accounts for health care expenses, including FSAs and HSAs.
• Dependent-care FSAs.
• Health advocacy services.
• Behavioral health and counseling resources for family members.
• 401(k).
• Profit sharing.
• Backup dependent care.
• Senior care planning support.
• Resources for individuals with developmental disabilities and their caregivers.
• Paid holidays and other paid time off, including paid leave for new parents.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level