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About the Role

The Manager, Data Engineering provides technical leadership and oversight for the Health Fund's Data Engineering Team, including the enterprise data warehouse, system integrations, data pipelines, and data governance frameworks. The role leads a team of data engineering professionals responsible for delivering scalable, secure, and high-quality data solutions that support reporting, analytics, operational processes, and strategic initiatives.

Responsibilities

Oversee the Data Engineering Team through leadership and supervision.
Provide leadership, coaching, performance management, and professional development to Data Engineering staff.
Technical ownership of the data warehouse, including system architecture, data architecture, data engineering, and data pipelines.
Lead collaboration for the deployment and implementation of tools necessary to integrate data within and across information systems.
Understand business requirements and translate them into technical solutions and application features.
Develop and implement methods to improve data reliability, quality, and accessibility.
Maintain data governance and documentation practices for a variety of data inputs.
Participate in the evaluation and pilot of new technologies and provide recommendations.
Manage communication and relationships with data platform stakeholders.
Partner with business and technology leadership to develop and execute the Health Fund's data strategy, roadmap, and priorities.
Develop testing protocols to ensure processes are robust and bugs are identified, documented, and resolved.
Conduct functional and non-functional testing.
Evaluate existing data models, architectures, and pipelines.
Develop and maintain technical documentation to accurately represent data models, architectures, integrations, and workflows.
Ensure that integration processes are fully tested and any issues, limitations, integrations, or dependencies are well defined and documented.
Lead the technical delivery of integration solutions approved within the portfolio and contribute to the ongoing development of the Funds' data strategy.
Collaborate with business partners and internal teams to understand, document, prioritize and implement new datasets, integrations, and features within the data warehouse environment.
Align closely with agency IT teams to support the deployment of integration systems.
Partner with the QA and Infrastructure teams to ensure compliance with regulatory and security requirements.
Establish, maintain, and enforce data engineering standards, policies, procedures, and best practices.
Monitor and optimize the performance, availability, and reliability of data platforms, data pipelines, data warehouse environments, and integration processes.
Collaborate with Data Warehouse Architect in the design for the overall architecture of the data platforms and provide guidance and oversight.
Ensure that guiding principles, technology standards, data governance requirements, and privacy policies are consistently followed.

Requirements

Minimum 8 years of experience in data engineering, data warehousing, ETL/ELT development, data integration, or related technical disciplines.
Minimum 3 years of management or supervisory experience leading technical teams and complex data initiatives.
Experience managing projects across the full data lifecycle, including data governance, data quality, integration, testing, documentation, and production support.
Proficiency in SQL and Python, with hands-on industry experience is a must.
Knowledge of API integrations, JSON, XML, SFTP, and file-based data exchanges.
Experience in conducting code review a must.
Strong project management skills a must.
Experience with GitHub is a must.
Experience building, maintaining enterprise data pipelines and data stores.
Strong communication and client-facing skills with the ability to work in a centralized technology environment.
Proven ability to lead, coach, mentor, and develop technical staff in a collaborative environment.
Ability to build collaborative relationships across business and technology teams.
Ability to lead organizational change and drive continuous process improvement initiatives.
Strong analytical, problem-solving, and critical-thinking skills.
Strong organizational skills with exceptional attention to detail and follow-through.
Ability to communicate technical concepts to non-technical audiences.

Skills

Data Engineering
Data Warehousing
ETL/ELT Development
Data Integration
SQL
Python
API Integrations
JSON
XML
SFTP
File-based data exchanges
Code Review
Project Management
Agile Methodology
GitHub
Azure DevOps
Data Governance
Data Quality
Data Modeling
Data Pipelines
Data Warehouse Architecture

Location

Work Type

Experience Level

Minimum 8 years of experience in data engineering, data warehousing, ETL/ELT development, data integration, or related technical disciplines.
Minimum 3 years of management or supervisory experience leading technical teams and complex data initiatives.

Education Level

Bachelor's degree in Computer Science, Information Systems, or related field required.
Master's degree preferred.

About the Company

Building Services 32BJ Benefit Funds (“the Funds”) is the umbrella organization responsible for administering Health, Pension, Retirement Savings, Training, and Legal Services benefits to over 185,000 SEIU 32BJ members.
Our mission is to make significant contributions to the lives of our members by providing high quality benefits and services.
Through our commitment, we embody five core values: Flexibility, Initiative, Respect, Sustainability, and Teamwork (FIRST).
The Funds oversees and manages $11 billion of dollars in assets, which are made up of many, varied and complex funds.
32BJ Benefit Funds will continue to drive innovation, equity, and technology insights to further help the lives of our hard-working members and their families.
We use cutting edge technology such as: M365, Dynamics 365 CRM, Dynamics 365 F&O, Azure, AWS, SQL, Snowflake, QlikView, and more.