Pay · estimate~$95k – $125kMarket rate · not set by employer
PostedNov 12, 2026
LevelMid level
In short
• Assessing the existing systems, data sources, and pipelines and developing a practical roadmap for the data architecture needed to support priority AI initiatives and business…
SQLPYTHONTABLEAUAWS
📋 About the job
🔹Assessing the existing systems, data sources, and pipelines and developing a practical roadmap for the data architecture needed to support priority AI initiatives and business intelligence capabilities
🔹Designing and managing data flows across the organization, ensuring data integrity, access, and seamless integration across systems
🔹Designing, implementing, and maintaining scalable data models, data stores, and pipelines to ensure efficient processing and transformation of structured and unstructured legal and business data
🔹Leading efforts to make the data AI-ready by identifying and remediating data silos, creating unified and governed access to enterprise data across environments, and developing processes to clean, enrich, and structure the data
🔹Establishing standards and procedures for data governance, integration, quality control, and lifecycle management to ensure consistent, accurate, and timely data
🔹Developing and maintaining architectural documentation
🔹Collaborating with stakeholders across business departments and functions, as well and practice group leadership, to drive data-driven initiatives, foster a data-driven culture, and ensure alignment with strategy
🔹Evaluating and recommending tools and technologies that support the data architecture framework
🔹Collaborating with leadership, IT, Information Security, and relevant stakeholders to identify and mitigate data-related risks, ensuring compliance with relevant regulations, professional responsibility rules, client requirements, and security standards
🎓Qualifications
🔹BS in Computer Science or a related field preferred
🔹5-8+ years of experience in a data architecture or data engineering role, professional services environment
🔹Experience designing and building solutions on cloud-based data platforms and services; substantial hands-on experience with AWS strongly preferred
🔹Relevant AWS, database, or cloud platform certifications are a plus
🔹Experience preparing enterprise data for AI use, including connecting data across systems and structuring information from documents and other unstructured sources so that it can be reliably used by AI applications
🔹Advanced SQL and data modeling skills
🔹Strong experience in designing, building, and maintaining data integration and pipelines across multiple systems and data sources
🔹Experience with BI/data visualization platforms, with Tableau experience strongly preferred