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Crossing Party Lines

Salesforce Database Architect

Crossing Party Lines, New York, New York, us, 10261

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Salesforce Database Architect

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Crossing Party Lines

Crossing Party Lines (CPL) provides opportunities, training, and support for civil, respectful discourse between Americans with dissimilar ideologies. Our primary offering is the CPL meetup regularly scheduled, facilitated meetings to which all are welcome. At our meetups, attendees discuss current hot topics while facilitators focus the meetings to teach and model skills and create a safe space for members to

We are seeking a highly skilled

Salesforce Database Architect

to design, implement, and optimize data architecture solutions within the Salesforce platform. The ideal candidate will have a strong background in Salesforce architecture, data modeling, and integration, with a deep understanding of Salesforce's underlying database structures. You will play a critical role in ensuring the scalability, performance, and reliability of our Salesforce CRM ecosystem.

Key Responsibilities

Design and maintain scalable Salesforce data models, schema, and relationships aligned with business needs.

Architect and implement data integration strategies between Salesforce and external systems (e.g., Classy, Meetup, Mailchimp, Constant Contact, etc.).

Collaborate with Crossing Party Lines teams, staff, Board of Directors, and volunteers to translate business requirements into technical designs.

Ensure data integrity, security, and compliance across all Salesforce applications and integrations.

Establish and enforce data governance standards and best practices within the Salesforce ecosystem.

Optimize performance of large data sets and complex queries within Salesforce.

Develop and maintain documentation for database architecture, data flows, and integration mappings.

Evaluate and recommend third-party tools, plug-ins, and AppExchange products related to data management and integration.

Support system scalability and high availability by following Salesforce best practices for large-scale implementations.

Mentor administrators, volunteers, and others on data-related topics, including normalization, relationships, and indexing.

Seniority level

Associate

Employment type Job function

Information Technology

Industries

Civic and Social Organizations

Non-profit Organizations

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