Lead Data Architect

Title:               Lead Data Architect

Reporting to:     Director of Data Engineering

Location:               United States / Remote, requires U.S. work authorization, <10% travel

Term:                     Permanent, Full-Time, Exempt

Deadline:               Applications will be reviewed on a rolling basis

About WorkMoney

WorkMoney is dedicated to lowering costs and raising incomes for all Americans to make American life more affordable and American families more economically secure. We provide products, services, perks, benefits, tips, and tools to help members improve their financial lives, and we have become a trusted source of information about financial matters, economic policy, and public debates about the economy for our 6 million (and growing) members. We also activate and engage our members in advocacy campaigns to support policies and elected leaders to support our core vision that everyone in America can afford to live a good life. You can find out more about WorkMoney at workmoney.org and Facebook.

About WorkMoney Digital Innovation

We have an incredibly dynamic and expanding data environment here at WorkMoney that continues to grow in response to the increased sophistication of the organization’s work.  What began as a small, agile team has grown into a multifaceted operation, catering to our internal teams by developing pipelines and workflows to disseminate data throughout the organization. We’ve integrated a CRM and various other tools into our infrastructure to address diverse business requirements, and we provide insightful analysis to steer program decisions effectively.

This year, our focus within the Data Engineering team lies in refining our data architecture for scalability and optimization of existing systems. Simultaneously, we’re dedicated to constructing new pipelines to support the continued growth and development of our organization.

Why We Need A Lead Data Architect

The Lead Data Architect position at WorkMoney offers an exciting opportunity to spearhead the design and implementation of a scalable data infrastructure. This role is crucial in addressing the challenge of efficiently managing the increasing load of multiple-large scale projects and initiatives. The successful candidate will primarily focus on engineering tasks, such as building tables and pipelines to support various programs and projects, election initiatives, and additional API builds. They will also flex into architecture tasks, serving as a strategic thought partner and collaborating closely with the Director of Data Engineering to streamline and enhance the existing database architecture to accommodate the growing volume of incoming projects.

Responsibilities

Data Engineering:

• Promptly address requests for data and reporting, ensuring timely delivery and responsiveness to stakeholder needs.
• Participate in scoping and implementing data pipelines across our existing infrastructure to fulfill various programmatic requirements (e.g., constructing a flow for seamless data transfer from a calling system to Salesforce and Redshift).
• Assess new tools and propose enhancements to existing systems and processes to optimize efficiency and effectiveness.
• Collaborate with the team to identify opportunities for innovation and improvement, contributing to the continuous evolution of our data infrastructure and engineering capabilities.

Data Architecture:

• Collaborate in designing and constructing a scalable data infrastructure, leveraging existing systems such as AWS, Redshift, Salesforce, DBT, and more.
• Conduct thorough reviews of database architecture to uphold data integrity, quality, performance, and scalability, while enforcing best practices in data management.
• Develop and maintain comprehensive documentation on data flows and mappings to ensure transparency and facilitate seamless operations.
• Establish and manage alters to monitor the health of data infrastructure and track metrics demonstrating the quality of incoming data.

  

Project Management:

• Manage project timelines and deliverables effectively to ensure timely completion.
• Communicate regular updates and status reports to relevant stakeholders.
• Implement a robust issue tracking system to identify, prioritize, and address any challenges or obstacles encountered during project execution.