Data Engineer / Data Analyst / Data Architect (Must Need Legal Technology Exp)

Data Engineer / Data Analyst / Data Architect (Must Need Legal Technology exp) Day 1 onsite Sunnyvale, CA / Austin, TX (Client prefer local folks first) Long term contract Hybrid - 3 days onsite / week (Every Tuesday, Wednesday and Thursday is onsite, and Monday, Friday is remote) Direct client opportunity No mid layer / No Implementation partners are Involved Mode of Interview: Mostly 1 round virtual Most Important: Client is looking for any Data Candidate coming from strong Legal tech background whether they are Data Engineer or Data Analyst or Data Architect. Job details: • 10+ years of experience delivering data engineering, analytics, and business intelligence solutions in legal, corporate, and highly regulated environments. • Expertise in Legal Matter Management systems, eBilling platforms, legal spend analysis, matter lifecycle management, invoice validation, accrual reporting, request management, and legal operations analytics. • Design and develop scalable ETL/ELT pipelines, data integration frameworks, and cloud-based data architectures to support enterprise reporting and AI initiatives. • Advanced SQL and Python skills for data extraction, transformation, automation, optimization, analytics, and machine learning applications. • Extensive experience with SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, and Azure-based data platforms. • Build semantic layer and executive dashboards, KPI scorecards, and operational reporting solutions using Business Objects, Tableau. • Implement data governance, master data management (MDM), metadata management, and data quality frameworks to ensure compliance and data integrity. • Support legal, finance, procurement, and executive stakeholders with actionable insights that drive strategic decision-making and operational efficiency. • Leverage AI-powered tools and generative AI technologies to automate workflows, enhance analytics, improve documentation, and increase productivity. • Lead data cleansing, reconciliation, validation, and root-cause analysis initiatives to improve reporting accuracy and business confidence. • Ensure adherence to information security, privacy regulations, and governance standards for sensitive legal and corporate data. • Collaborate with cross-functional teams using Agile and modern data engineering practices to deliver scalable, business-focused solutions. • Drive process improvement, automation, cloud migration, and enterprise data transformation initiatives that reduce manual effort and accelerate analytics capabilities. • Develop AI-ready datasets by ensuring data completeness, consistency, accuracy, timeliness, and governance compliance across enterprise data ecosystems. • Experience with legal technology platforms including TeamConnect, Litify, Onit, and other Legal Matter Management and eBilling solutions. • Expert in data modeling and architecture best practices, designing scalable conceptual, logical, and physical data models, dimensional schemas, and governed data structures that enable high-performance analytics, business intelligence, and AI-ready data platforms. Pay Range: $70/hr - $75/hr The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, and vision as well as 401K contributions.