Senior Data Engineer

Overview We offer a flexible working policy that supports a healthy balance between personal and professional well‑being. This role requires in‑office presence on Tuesdays & Thursdays to collaborate, connect, and learn from peers while maintaining flexibility for meaningful work‑life balance. As a Senior Data Engineer on the Applied Data team, you will design, build, and maintain the data platform and pipelines that support AI/ML solutions and intelligent features across the iManage ecosystem. Responsibilities Designing, developing, and maintaining scalable data pipelines on Databricks & Microsoft Azure to ingest and transform large volumes of structured and unstructured data from multiple sources Building and optimizing large‑scale data workflows for normalization, deduplication, enrichment, and quality enforcement Architecting and managing data platforms that enforce governance, lineage tracking, and access controls across the organization Implementing automated data validation and quality monitoring to ensure accuracy, consistency, and reliability across datasets Supporting AI and ML teams by preparing clean, well‑documented datasets and building reliable data interfaces for model development and evaluation workflows Maintaining data lineage and following data privacy, security, and governance best practices across the lakehouse Collaborating with applied AI, analytics, and product teams to understand data requirements and translate them into scalable engineering solutions Qualifications A bachelor's degree or higher in Computer Science, Data Engineering, Applied Mathematics, or a related quantitative field 4+ years of data engineering experience, with a strong track record delivering production‑grade pipelines at scale Strong proficiency in Python, PySpark, and Spark SQL for large‑scale data processing Hands‑on experience with Databricks, including Delta Lake, Delta Live Tables, Unity Catalog, Volumes, and Databricks Workflows Solid understanding of lakehouse architecture principles, including Medallion architecture, and experience designing for reliability, performance, and governance; experience orchestrating data pipelines on cloud infrastructure, preferably Microsoft Azure and Databricks Proficiency with Git and collaborative development practices A strong sense of ownership over data quality and platform reliability Bonus Points Experience with Microsoft Azure services including Azure Data Lake Storage, Azure AI Foundry, Azure ML, and Microsoft Fabric Familiarity with AI or ML workflows and experience supporting data needs for model training, fine‑tuning, or evaluation Experience with data processing, including text normalization, embeddings, or semantic search datasets Experience with large document datasets Experience working with data in the legal domain Prior work designing architectures for large‑scale document or text corpora Benefits Inclusive environment where you can shape culture and add value Competitive salary that is applied through a consistent, equitable process and regularly reviewed based on industry data Annual performance‑based bonus Comprehensive Health/Vision/Dental/Life Insurance and a 401(k) Retirement Savings Plan with company match up to 4% HealthJoy healthcare concierge service Enhanced leave for expecting parents: 20 weeks 100% paid for primary leave, and 10 weeks 100% paid for secondary leave Flexible time‑off policy to accommodate vacations, volunteering, holidays, family time, or recharge Company wellness days and free access to the Healthy Minds app for mindfulness, meditation, and more The overall U.S. annual base salary range for this position is $120,000–$170,000. Individual compensation for each candidate depends on factors such as qualifications, experience, and candidate location. This range does not include additional compensation, such as bonuses, or benefits. Your recruiter will provide further details about the offer range, incentives, and overall compensation during the hiring process. Equal Employment Opportunity iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. #J-18808-Ljbffr ROLE