Legal Data Engineer Lead

Greenberg Traurig (GT) a global law firm with locations across the world in 15 countries has an exciting employment opportunity for you. We offer competitive compensation and an excellent benefits package along with the opportunity to work within an innovative and collaborative environment.

Position Summary:

The Legal Data Engineer Lead is responsible for designing developing and maintaining data-driven and AI-enabled solutions that support legal matters client engagements and internal business initiatives. This role oversees complex data engineering integration automation analytics and AI projects involving large diverse and often unstructured data sets leveraging advanced technical expertise to deliver scalable defensible and high-quality solutions. The position exercises independent judgment in selecting appropriate technologies and methodologies evaluates the accuracy and reliability of AI-assisted outputs identifies opportunities to enhance workflows through automation and AI and provides technical guidance to team members.

Key Responsibilities:

• Designs develops tests and maintains complex data workflows and pipelines incorporating traditional data engineering automation and AI-enabled processing techniques.

• Develops Python-based solutions for data processing extraction classification transformation validation reconciliation and reporting.

• Designs workflows that use generative AI large language models multimodal AI or other AI technologies to extract classify summarize normalize or structure information from PDFs documents images spreadsheets and other structured and unstructured data sources.

• Develops structured AI workflows using techniques such as prompt engineering schema-based outputs JSON processing validation logic exception handling and automated quality-control procedures.

• Integrates AI capabilities with Python APIs databases cloud services and traditional data-processing workflows to create repeatable and scalable analytical solutions.

• Evaluates AI-generated outputs for accuracy completeness consistency and reliability and develop validation procedures appropriate for legal and client-facing work.

• Designs human-in-the-loop review processes and other quality-control mechanisms for AI-assisted workflows where appropriate.

• Identifies appropriate and inappropriate use cases for AI based on data sensitivity analytical risk accuracy requirements confidentiality and the intended use of the resulting work product.

• Assists in developing standards documentation and governance practices for the responsible use of AI within Legal Data Analytics workflows.

• Evaluates emerging AI technologies models platforms and development approaches and recommend tools that can improve the efficiency accuracy or scalability of the departments analytical services.

• Prototypes and developsAI-enabled tools and self-service applications that automate repetitive data preparation extraction review or analytical processes.

• Collaborates with attorneys and technical professionals to translate legal and business requirements into data engineering and AI-assisted analytical solutions.

• Provides technical guidance to team members on data extraction transformation automation reporting data validation and analytics tools and processes.

Qualifications:

Skills & Competencies

• Exceptional attention to detail organizational skills and commitment to data accuracy and quality assurance.

• Demonstrated collaboration and client service orientation with the ability to partner effectively across departments and business functions.

• Advanced analytical problem-solving and critical thinking skills with the ability to work with complex datasets and identify data quality issues trends and anomalies.

• Strong Python programming skills with demonstrated experience developing reusable data-processing automation and AI-enabled workflows.

• Familiarity with prompt engineering and techniques for producing reliable structured outputs from generative AI systems.

• Familiarity with multimodal AI techniques for processing documents PDFs images or other unstructured information.

• Ability to evaluate AI-generated results critically and design validation and quality-control procedures to identify hallucinations omissions inconsistencies and other output errors.

• Understanding of human-in-the-loop design and the importance of maintaining appropriate human review for higher-risk legal and analytical applications.

• Expertise in determining when traditional programming deterministic rules statistical methods or AI-based approaches are most appropriate for a particular analytical problem.

• Exposure to responsible AI concepts including data privacy confidentiality security transparency reproducibility and appropriate use of AI within professional services environments.

• Knowledge of data extraction and validation reconciliation automated quality control and document-processing techniques.

• Ability to prototype new AI-enabled analytical workflows and move successful concepts toward repeatable production processes.

Education & Prior Experience

• Bachelors degree in Data Analytics Data Science Computer Science Information Systems Statistics Mathematics Engineering or a related quantitative or technical field required; equivalent combination of certifications and relevant professional experience may be considered.

• Minimum of 5 years of progressively responsible experience in data engineering data analytics database development automation business intelligence or a related technical discipline.

• Knowledge of data extraction and validation reconciliation automated quality control and document-processing techniques.

• Proficiency in Python and SQL to develop complex data-processing and automation solutions.

• Proven ability to incorporate artificial intelligence generative AI machine learning natural language processing or related technologies into data or document-processing workflows.

• Track record of independently developing solutions involving structured and unstructured data including spreadsheets databases PDFs documents images APIs or other source formats.

• Expertise in evaluating and validating automated or AI-generated outputs in environments where accuracy and reproducibility are important.

• Practical experience incorporating generative AI or large language models into data-processing or analytical workflows.

• Working knowledge of structured AI outputs including JSON schemas parsing validation exception handling and downstream data transformation.

• Background in supporting data-intensive environments preferably within a law firm legal services professional services consulting compliance human resources financial litigation or employment analytics setting.

• Experience mentoring reviewing or providing technical guidance to less experienced technical professionals preferred.

• Development of AI-enabled self-service applications or analytical tools

Technology

Required:

• Advanced Microsoft SQL Server and T-SQL

• Python

• Microsoft Excel

• Generative AI / Large Language Models

• Prompt engineering

• REST APIs and JSON

• Structured-output and schema-based AI workflows

• Git or comparable source-control practices

Preferred:

• Microsoft Azure

• Microsoft Fabric

• Azure Data Factory

• Azure SQL Database

• Azure AI services

• Azure OpenAI or comparable enterprise LLM platforms

• Power BI

• SQL Server Integration Services (SSIS)

• Multimodal AI and document intelligence technologies

• Retrieval-augmented generation (RAG) concepts

• Vector search or semantic search concepts

• AI orchestration or agent-based workflow concepts

• Machine learning or natural language processing

Physical Requirements:

• While performing the duties of this job the employee is occasionally required to move from workstation or desk throughout the work area to work independently or with a team to meet with colleagues or supervisor and retrieve work assignments

• This position may also be sedentary and require the employee to sit for extended periods of time

• Requires manual dexterity to dial a telephone enter data into a computer handle objects and operate tools

Philadelphia Fair Chance

GT is an EEO employer with an inclusive workplace committed to merit-based consideration and review without regard to an individuals race sex or other protected characteristics and to the principles of non-discrimination on any protected basis.