Data Solutions Engineer

Holland & Knight LLP • Tampa, FL

2d • Onsite

About The Position

The Data Solutions Engineer supports the development and management of the Firm’s data warehouse and 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 continued 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. The position also serves as a contact for internal resources and external vendors and consultants. It may be based at the Firm’s global operations center in the Tampa Bay area or at its Dallas office.

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 in an innovation or knowledge management function.
• At least 5 years of direct experience in data management activities such as data pipeline development, database administration, data engineering, or data science.
• 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 understanding 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, business practices, and practice-specific terminology.
• Experience supporting a broad range of legal practices, including transactional, litigation, and regulatory.
• Expert-level knowledge of SQL Server and the Microsoft SQL Server 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 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 for the legal industry and clients such as financial and governmental institutions.
• Ability to build effective, 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.

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 or lakehouse, code base, schemas, and integrations with business applications.
• Develop, document, and maintain data integration processes and provide integration services for local and hosted enterprise applications, including through APIs and other connection methods.
• Design, implement, and maintain scalable, reliable, and secure data pipelines, databases, data quality processes, and transformations.
• Use Azure Data Factory, Azure Databricks, and other Azure services to build and maintain data processing pipelines.
• Manage and optimize data storage using Azure Data Lake Storage and Azure SQL Data Warehouse.
• Develop data models and maintain data architecture for analytics and business intelligence reporting.
• Monitor and troubleshoot data-related issues in the Azure environment to maintain availability and performance.
• Collaborate with data scientists, business analysts, and stakeholders to understand data requirements and implement solutions.
• Implement data security measures, including encryption, access controls, and auditing, and support compliance with Firm 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 development and implementation of proprietary machine learning, LLM, and AI-enabled products, including partner selection and technical protocols such as grounding, RAG, and vectorizing.
• Support use-case evaluation, product design, and implementation.
• Optimize data processing systems for performance, reliability, and cost.
• Work cross-functionally with software engineers, solutions engineers, business stakeholders, and the broader Data Strategy team to develop solutions, standards, and processes.
• Help maintain a comprehensive data catalog by documenting end-to-end data flows and source-to-target information.
• Promote excellent data transformations and clear schema design aligned with operational and analytical needs.
• Collaborate with data engineers, data solutions analysts, and database administrators to deliver high-quality solutions and support a positive team culture.
• Partner with IT staff, vendors, and other third parties to resolve system-level 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 data quality and quantity.
• Create or contribute to configuration documentation and guides for data consumers, and help design end-user training, onboarding, adoption programs, and communications.
• Perform special projects and duties as assigned.

Benefits

• Comprehensive medical plans, including PPO and HDHP options
• Dental and vision plans, including domestic partner coverage
• Life and AD&D insurance
• Short- and long-term disability insurance
• Tax-advantaged health care accounts, 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