Lead Data Engineer Posted Jan 30
Shulman Fleming , New York, NY
Lead Data Engineer

We are looking for a Lead Data Engineer to serve as a data architect and technical lead for “all things data” in the Platform. Responsibilities include data modeling, design of the data pipeline supporting reporting and analytics, data quality initiatives, and data analysis to improve our product and human services outcomes. The position is also responsible for serving as a data domain expert in client engagements.

What You’ll Do (Responsibilities):

Create data vision, goals, and priorities in collaboration with executive team
Conceptualize and guide data processing, warehouse and analysis projects
Design and oversee database models, schemas, data processing scripts, and data validation approach
Implement data governance policies consistent with client requirements
Guide the development of data management framework that meets business needs and ensures users can find the information they need with speed and precision
Ensure data quality in deployments of the Platform
Work with data engineers, developers and product team to ensure common understanding of application behavior and data requirements
Develop human services domain expertise to provide effective leadership
Ensure that data conversion from legacy human services systems into the data model yields high quality data
Work closely with system integration partner and client data engineering teams
Consult with engineers about how database tables should be structured, ensure that new data elements are well-defined; and consult on how validations are implemented.
Develop and track measures regarding the effectiveness and usability of features and the quality of collected data.
Evaluate and recommend data products, tools and services to support business needs
Review and sign off on production data fixes
Conceptualize and influence data related warehousing and interface projects
What You Have (Skills and Requirements):

Exceptional ability to process and synthesize information to deliver optimal solutions and identify roadblocks.
Candidates should have several years’ experience working with technical and operational management and process owners
Strong ability to conceive and communicate the broader data picture
Solid experience translating business requirements into conceptual, logical and physical data models
Extensive experience with ETL design and implementation of multiple databases
Experience with metadata definition, implementation and maintenance
Ability to organize and prioritize multiple assignments
Initiative and judgment to get results, work under pressure and complete job assignments in an accurate, timely and professional manner
Strong presentation, interpersonal and communication skills
Understanding of system development life cycle, technical project management approaches and requirements, design and test techniques
Experience with PostgreSQL and related technologies strongly desired
Experience with cloud services in data management and analysis, preferably AWS
Strong experience with distributed platforms and information management systems.
Experience doing data analysis with Python, R or Scala
Bachelor’s degree in computer science, information management or information systems, or equivalent experience

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