Data Team Lead

Role Description:

Responsible for leading the expansion and optimization of the firm’s data and data pipeline architecture as well as data flow and collection. Ensure the integrity of all data from source systems into the data warehouse, as well as mentor a small team.

Responsibilities:

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

Proficiencies:

Experience 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

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