Data Solutions Engineer

Data Solutions Engineer

Requirements

• Excellent written and verbal communication skills.
• Excellent organizational, teamwork, customer service and critical thinking skills required.
• Bachelor’s degree in relevant field.
• 5+ years’ experience in a law firm, corporate legal department, or professional services environment, particularly within an innovation or KM function.
• 5+ years’ of direct experience in data management activities such as building data pipelines and database administration, data engineering, data sciences, and database administration.
• Excellent proficiency in business intelligence, data warehousing, application development, and data visualization.
• Strong knowledge and understanding of the legal technology landscape, including trends, tools, and industry standards.
• Extensive experience working with legal technology, workflow systems, legal project management, and practice management tools.
• Deep understanding of law firm structure and business practices, as well as practice-specific terminology.
• Experience working with a broad array of legal practices including transactional, litigation, and regulatory.
• Expert level of knowledge in SQL Server using the full Microsoft SQL Server stack including Management Studio (SSMS), SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS) and PowerShell.
• Expert knowledge in scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services.
• Expert knowledge in managing and optimizing data storage using Azure Data Lake Storage and Azure SQL Data Warehouse.
• Experience with, and willingness to learn more about, emerging Microsoft OneLake, Fabric, Power and related concepts and applications.
• In-depth knowledge of database systems, data warehousing concepts and data modeling techniques. Extensive experience with data management, process, and data system design in a legal or professional services firm.
• Strong proficiency in programming languages such as Python and data processing framework such as Airflow.
• Proficiency with .NET and comparable developer tools.
• Exceptional proficiency working with MS Office and Power platform especially for analyzing and communicating data-related concepts.
• Experience in leveraging automation and AI-related technologies, such as Machine Learning and LLMs, to drive innovation in legal services.
• Proficiency with cybersecurity best practices and compliance requirements in the legal industry and for clients such as financial and governmental institutions.
• Ability to develop effective and collaborative relationships among 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 phases.

Responsibilities

• 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.

Preferred Qualifications

• Master’s or related coursework strongly preferred.