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