We are seeking an experienced Senior Data Engineer / Data Analyst with a strong background in legal technology, legal operations analytics, data engineering, and business intelligence. The ideal candidate will have hands-on experience working with Legal Matter Management systems, eBilling platforms, legal spend analytics, and enterprise data environments.
This role involves designing scalable data pipelines, developing advanced analytics solutions, building executive dashboards, and preparing high-quality, governed datasets to support business intelligence and AI-driven initiatives.
Design, develop, and maintain scalable ETL/ELT pipelines, data integration frameworks, and cloud-based data architectures.
Work with Legal Matter Management systems, eBilling platforms, legal spend analysis, matter lifecycle management, invoice validation, accrual reporting, and legal operations analytics.
Use advanced SQL and Python for data extraction, transformation, automation, optimization, and analytics.
Work with SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, and Azure-based data platforms.
Develop semantic layers, executive dashboards, KPI scorecards, and operational reports using Tableau and BusinessObjects.
Implement data governance, master data management (MDM), metadata management, and data quality frameworks.
Collaborate with legal, finance, procurement, and executive stakeholders to translate business requirements into actionable data solutions.
Leverage AI and generative AI tools to improve analytics, automate workflows, streamline documentation, and enhance productivity.
Lead data cleansing, reconciliation, validation, and root-cause analysis initiatives to improve data accuracy and reporting reliability.
Ensure compliance with information security, data privacy, and governance requirements when handling sensitive legal and corporate data.
Drive process automation, cloud migration, and enterprise data transformation initiatives.
Develop AI-ready datasets by ensuring data completeness, consistency, accuracy, timeliness, and governance compliance.
Design scalable conceptual, logical, and physical data models, including dimensional schemas and governed data structures.
Collaborate with cross-functional teams using Agile methodologies and modern data engineering practices.
5–10+ years of experience delivering data engineering, analytics, and business intelligence solutions.
Strong experience in legal technology, legal operations, corporate legal environments, or similarly regulated business environments.
Hands-on knowledge of Legal Matter Management systems and eBilling platforms.
Experience with legal technology platforms such as TeamConnect, Litify, Onit, or comparable solutions.
Advanced SQL and Python programming skills.
Strong experience building ETL/ELT pipelines and integrating data across enterprise systems.
Experience with relational databases and modern data platforms, including SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, and Azure.
Experience developing dashboards and reporting solutions using Tableau, BusinessObjects, or comparable BI tools.
Strong data modeling, data architecture, data quality, and governance expertise.
Excellent analytical, problem-solving, communication, and stakeholder management skills.
Candidates must be able to work onsite three days per week in either Cupertino, California, or Austin, Texas, with two days working remotely.
