Data Infrastructure Architect

City of New York•New York, NY

2d•$125,000 - $150,000

About The Position

The Mayor’s Office of Criminal Justice (MOCJ) advises the Mayor of the City of New York on criminal justice policy. MOCJ develops and implements strategies, with partners inside and outside government, to reduce crime and incarceration and to promote fairness and legitimacy. MOCJ works with law enforcement, city agencies, non-profits, foundations, and others to implement data-driven strategies that address current crime conditions, prevent offending, and build strong neighborhoods that ensure enduring safety. The Data Infrastructure Architect will design, implement, and manage MOCJ’s data architecture to support secure, scalable, and reliable data access, storage, integration, and analysis. This role will help build and maintain a high-quality data ecosystem by standardizing data structures, improving data flows, supporting data warehousing, and ensuring that agency data assets are secure, consistent, accessible, and usable for analytics, reporting, and decision-making.

Requirements

Do you have a baccalaureate degree from an accredited college or university?
Do you have an associate degree from an accredited college or university along with two (2) years of experience with administrative, analytic, coordinative, supervisory or liaison responsibilities?
Do you have a four-year high school diploma, or its educational equivalent approved by a state's Department of Education or a recognized accrediting organization along with four (4) years of experience as described in question "2" above?
Do you have a satisfactory combination of education and/or experience equivalent to that described in questions "1," "2," and/or "3" above?
Experience with SQL, Python, and other scripting or automation tools.
Experience with ETL/ELT processes and data quality controls.
Experience with data governance, metadata management, master data, access controls, and regulatory compliance.
Experience with database platforms, storage solutions, cloud services, and data technologies.

Responsibilities

Design conceptual, logical, and physical data models, database schemas, and enterprise data flow structures.
Support the architecture and optimization of transactional databases, data warehouses, data lakes, and large-scale data systems.
Develop scalable frameworks for storing, organizing, and accessing structured and unstructured data.
Document data architectures, system dependencies, data flows, and technical standards.
Develop and maintain frameworks for integrating data from internal and external sources.
Implement data normalization, transformation, and validation workflows using SQL, Python, and other scripting or automation tools.
Support ETL/ELT processes and data quality controls to ensure reliable, consistent, and analysis-ready datasets.
Monitor data quality, resolve inconsistencies, and recommend improvements to strengthen the agency’s data ecosystem.
Define and support standards for data governance, metadata management, master data, access controls, and regulatory compliance.
Ensure data assets are managed in accordance with applicable privacy, security, and compliance requirements.
Partner with IT, legal, program, and research teams to support secure and appropriate use of agency data.
Recommend tools, processes, and controls to strengthen data security, access management, and data integrity.
Evaluate and recommend database platforms, storage solutions, cloud services, and data technologies that support agency needs.
Plan and support deployments, migrations, and modernization of data systems.
Monitor query performance, pipeline efficiency, system scalability, and data storage practices.
Optimize ETL pipelines, normalization scripts, data structures, and automated data processes.
Work with internal and external data engineers, analysts, IT staff, program teams, and agency leadership to translate business needs into technical solutions.
Provide guidance on data modeling, normalization, governance, and system design.
Manage data infrastructure projects, timelines, resources, risks, and deliverables.
Stay current on emerging technologies and best practices in data architecture, automation, cloud data platforms, and data quality management.