Data Engineering Lead

Role Title: Data Engineering Lead for a global law firm Location: New York, NY (Hybrid)

Role Description: Define and create data architectures which supports the requirements of the business;Develop custom data models and algorithms to apply to data sets;Assess the effectiveness and accuracy of new data sources and data gathering techniques Discover opportunities for data acquisition;Develop data set processes for data modeling, mining and production;Oversee the data team and in collaboration with IT leadership provide day to day guidance and direction to achieve organizational goals in the timelines set;Employ a variety of languages and tools to marry systems together;Recommend ways to improve data reliability, efficiency and quality;Leverage large volumes of data from internal and external sources to answer business demands;Introduce automation through effective metadata management and using innovative and modern tools and techniques. Partially or completely automate the most common and repeatable data preparation and integration tasks;Propose appropriate data ingestion, preparation, integration and operationalization techniques in addressing data requirements;Lead the development of data governance policies and best practices for consumers and users of data we provision;Coordinate with different functional teams to implement models and monitor outcomes;Develop processes and tools to monitor and analyze model performance and data accuracy.

Requirements: Proficiencies:Experienced in designing, building and managing data pipelines for data structures;Expertise with advanced analytics tools for Object-oriented/object function scripting. Includes languages such as C#, Python and others;Expert in SQL, PL/SQL, SSIS and SSAS;Knowledge and/or certifications on upcoming NoSQL/Hadoop-oriented databases like MongoDB, Cassandra, and others for non-relational databases;Strong experience in working with large, heterogeneous data sets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies;Experienced working with popular data discovery, analytics, and BI software tools such as Tableau, Power BI and others for semantic-layer-based data discovery;Experienced working with data governance/data quality and data security teams;Experienced employing MicroSoft MDM (Master Data Management) and MDS;Ability to troubleshoot complicated issues across multiple systems and driving solutions;Effectively convey technical concepts to non-technical individuals;Demonstrate a high level of Data Security Awareness;Financial data and or experience with the legal industry data is a plus;Experienced performing ETL using Alteryx/Intapp Integrate/Boomi is a plus.

Qualifications:A bachelor's or master's degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field or equivalent work experience;At least 8 years' experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks;At least 5 years' experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative;Excellent verbal and written communication skills;Excellent problem solving and analytical skills; Must be highly effective within a collaborative environment;Must be able to independently resolve issues and efficiently self-direct work activities based on the ability to capture, organize, and analyze information.