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.