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Holland & Knight LLP

Data Solutions Senior Engineer (Hybrid)

Holland & Knight LLP, Atlanta, Georgia, United States, 30383


This role can be filled in one of our offices in the ET/CT time zones.The Data Solutions Senior Engineer supports the development and management of the Firm’s data warehouse / lakehouse, data analytics platforms, and related processes. This role contributes to the implementation and ongoing support of the firm’s cloud data systems and analytics tools and processes.The Engineer works with technology, knowledge, business services, and practice teams to discover the firm’s key operational data, assess intelligence and analytics needs, develop and communicate plans for data lake and analytics platform implementation, execute technical implementation of data platforms, and provide ongoing service, support, and planning for continued enhancements and user engagement. This role within our Data Strategy function partners closely with the Information Technology department and data and intelligence solutions teams in the development and delivery of the firm’s data platforms. This role contributes to digital transformation programs, provides technical and business process support, and serves as a contact for internal resources, such as the Information Technology department, as well as external resources including vendors and consultants.Key Responsibilities And Essential Job Functions

Support the design, development, and maintenance of data platforms, including configuring and maintaining data warehouse/lakehouse and related code base and schemas for the firm.Develop, document, and maintain key data integration processes in support of projects and ongoing services.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.Proactively monitor and troubleshoot 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 sourcing, evaluation, selection, and utilization of data engineering tools, particularly emerging AI-enabled products.Support the custom development and implementation of proprietary Machine Learning, LLM, and AI-enabled products.Optimize data processing systems to enhance performance and reduce costs.Participate in cross-functional relationships with software engineers, solutions engineers, and other business stakeholders.Partner with the broader Data Strategy team in the development and maintenance of a comprehensive and up-to-date data catalog.Support a culture of excellence in data transformations and clear schema design.Ensure data architecture is secure and compliant per company policies and industry standards.Collaborate among a team of data engineers and liaise closely with data solutions analysts and database administrators.Partner with IT staff, vendors, and other third parties to address system-level technical issues.Support data and intelligence solutions teams in establishing COE and best practices for analytics and data dashboard design.Develop standard metrics reporting and analyze trends to measure data quality and quantity.Contribute to standard configuration documentation and related guides for data consumers.Special projects and duties as assigned.Required Skills

Excellent written and verbal communication skills.Excellent organizational, teamwork, customer service, and critical thinking skills.Required Qualifications & Education

Bachelor's degree in a relevant field.15+ years’ experience in a law firm, corporate legal department, or professional services environment.15+ years of direct experience in data management activities.Excellent proficiency in business intelligence, data warehousing, application development, and data visualization.Strong knowledge and understanding of the legal technology landscape.Deep understanding of law firm structure and business practices.Expert knowledge in SQL Server and the full Microsoft SQL Server stack.Expert knowledge in scalable and secure data processing pipelines using Azure services.Expert knowledge in managing and optimizing data storage using Azure services.Experience with emerging Microsoft technologies.In-depth knowledge of database systems and data warehousing concepts.Strong proficiency in programming languages such as Python.Proficiency with .NET and comparable developer tools.Exceptional proficiency working with MS Office and Power platform.Experience in leveraging automation and AI-related technologies.Proficiency with cybersecurity best practices in the legal industry.Ability to develop effective and collaborative relationships.Demonstrated ability to support multiple complex assignments.Preferred Qualifications & Education

Master’s or related coursework strongly preferred.This position may be filled in the District of Columbia or New York. In accordance with the District of Columbia Wage Transparency Law, New York State Pay Transparency Law, and New York City Human Rights Law, the pay range for this position is specified.Holland & Knight is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer.Personal Information collected from applicants will be used for processing the application and inclusion in a personnel file.

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