Enterprise Data/ CRM Architect
TypeFull-time job
LocationUnited States
Posted3 hours ago
At Goldschmitt and Associates LLC (G&A), we’re not just another company—we’re a catalyst for innovation and impact, and we’re inviting passionate, forward-thinking individuals to join us on this journey. Recognized multiple times on the Inc 5000 list of the fastest-growing companies, G&A is a leader in tech transformation and system modernization for some of the nation’s most important federal agencies.
Our culture is built on creativity and collaboration. We offer flexible schedules, telework options, and an environment where your ideas truly matter. At G&A, you won’t just clock in—you’ll be solving real-world challenges and working on projects that make a difference in the lives of millions.
Joining our team means becoming part of a vibrant, connected community where innovation thrives, your voice is heard, and your impact is felt. Whether you’re a tech enthusiast, a strategic thinker, or a problem-solver, at G&A, you’ll have the opportunity to level up your career while making a real-world impact.
If you’re ready to be part of a company that values purpose as much as progress, G&A is the place for you!
Summary:
Goldschmitt & Associates is seeking an Enterprise Data/ CRM Architect to provide senior architecture leadership across Federal Student Aid's enterprise data environment, Common Data Model, customer-service platforms, integrations, analytics, and downstream data consumers.
The Enterprise Data / CRM Architect will help FSA create a coherent architecture for how borrower, loan, servicing, operational, and customer-interaction data is defined, governed, shared, and consumed across enterprise systems.
This role operates above individual pipelines or applications. The architect will define how the Common Data Model, Business Needs Layer, APIs, integration services, CRM/customer-care platforms, NSLDS, analytics environments, and other FSA systems work together while maintaining consistent data meaning, ownership, security, lineage, quality, and lifecycle controls.
The Enterprise Data/ CRM Architect must combine strong enterprise data architecture with enough application and integration knowledge to understand how data is created and used across business processes. The architect will work closely with the Senior Data Engineer, Enterprise Integration Architect, CDM Platform Engineer, Analytics Engineer, product leadership, and FSA enterprise architecture teams.
FSA's modernization requires a governed enterprise data capability that normalizes heterogeneous servicer data, improves quality and timeliness, and supports analytics, integrations, and future borrower-facing capabilities.
Job Duties and Responsibilities:
Lead enterprise data architecture across FSA's Common Data Model, Business Needs Layer, CRM/customer-service platforms, servicer integrations, NSLDS, analytics environments, and downstream consumers
Define the target-state architecture for how borrower, loan, servicing, customer-interaction, and operational data flows through the enterprise
Establish architecture principles for authoritative data sources, canonical data structures, shared definitions, data ownership, and system-of-record responsibilities
Define relationships between source-system models, the CDM, semantic/business layers, CRM structures, APIs, analytical models, and downstream applications
Guide development and evolution of canonical enterprise data models
Define approaches for schema versioning, compatibility, data lifecycle management, and controlled evolution of enterprise data structures
Review proposed source-to-CDM mappings and ensure transformations preserve business meaning and support enterprise reuse
Partner with the Senior Data Engineer on schema design, conformance rules, validation strategies, and complex source-data decisions
Define how customer and borrower information should be represented consistently across CRM, servicing, analytical, and digital-service environments
Identify duplicate, conflicting, or overlapping data definitions across platforms and recommend a target enterprise model
Establish patterns for data mastered in one system but consumed or enriched in another
Define architecture for data synchronization, event-driven data exchange, APIs, data products, and other enterprise access patterns
Partner with the Enterprise Integration Architect to ensure interface and integration patterns support the enterprise data model
Establish requirements for data contracts between producers and consumers
Define architecture standards for data quality, lineage, metadata, cataloging, stewardship, and governance
Ensure architecture supports traceability from source through transformation to downstream consumption
Define appropriate controls for sensitive borrower and financial information, including access, security, privacy, auditability, and least-privilege use
Evaluate the architecture impacts of read-only near-real-time servicer integration and future bi-directional exchange
Assess the impact of proposed UBP and customer-service capabilities on enterprise data structures and data services without defining out-of-scope UBP features
Identify technical debt, redundant data movement, tightly coupled integrations, and other architecture patterns that limit reuse or product agility
Develop architecture decision records, reference architectures, data-flow diagrams, data lifecycle plans, interface patterns, and phased modernization roadmaps
Evaluate alternative architectures and clearly document tradeoffs involving cost, complexity, scalability, reliability, security, data quality, and maintainability
Support architecture reviews and provide independent technical recommendations to FSA leadership
Work with product leaders to ensure data architecture decisions support measurable business and borrower outcomes
Work with analytics and HCD teams to ensure enterprise data structures are understandable and useful to business consumers
Help establish an architecture that allows FSA to evolve data products and services without repeatedly rebuilding point-to-point transformations
Mentor engineers and architects on enterprise data architecture practices and promote consistent standards across teams and contractors
Necessary Skills and Knowledge:
Significant experience designing enterprise data architectures across multiple applications and organizational domains
Strong experience with canonical data models, enterprise data models, or Common Data Models
Experience designing data integration patterns across transactional systems, APIs, event streams, analytical platforms, and enterprise applications
Strong understanding of data modeling, relational and analytical data structures, schema design, metadata, lineage, and data quality
Experience defining systems of record, authoritative data sources, data ownership, and enterprise data domains
Strong understanding of APIs, integration architecture, event-driven systems, and distributed application environments
Experience with enterprise CRM or customer-service platforms and the customer/borrower data models that support them
Experience designing data architecture for complex legacy modernization efforts
Ability to understand both logical business models and physical implementation constraints
Experience developing architecture roadmaps, reference architectures, architecture decision records, and phased migration strategies
Strong understanding of security, privacy, access control, and audit requirements for sensitive enterprise data
Ability to evaluate technical alternatives and explain architecture decisions to both technical and executive audiences
Strong collaboration skills across application, integration, data, cloud, security, analytics, product, and business teams
Minimum Qualifications:
Possess at least 12 years of experience in enterprise architecture, data architecture, solution architecture, CRM architecture, or related technical roles
Possess the ability to pass a 6C Public Trust investigation, including US citizenship
Preferred Qualifications:
Federal Government enterprise architecture experience
Department of Education or Federal Student Aid experience
Financial services, lending, loan servicing, or other highly regulated transactional data experience
Experience with borrower, customer, account, transaction, or servicing data models
Experience with Salesforce, Microsoft Dynamics, ServiceNow CSM, or another large enterprise CRM/customer-service platform
Experience with Databricks, Delta Lake, Unity Catalog, or comparable modern data-platform technologies
Experience with cloud-based enterprise data architecture
Experience with REST APIs, event streaming, API gateways, and data contracts
Experience implementing master/reference data management or enterprise data-governance capabilities
Familiarity with Zero Trust, FISMA, FedRAMP, and federal privacy/security requirements
Experience supporting enterprise analytics, semantic layers, data catalogs, and governed self-service data environments
NOTE: This job description is not intended to be an exhaustive list of all duties, responsibilities or qualifications associated with the job. It is intended to describe the general nature and work responsibilities of the position. This job description and the duties of this position are subject to change, modification and addition as deemed necessary by the Company.
Goldschmitt and Associates offers the following benefits:
401(k) with immediate vesting
Paid Federal Holidays
Tuition Reimbursement
Medical Insurance, including Vision and Dental Insurance
Employer-Paid Short-Term and Long-Term Disability
Employer Paid Life Insurance
Supplemental Life Insurance
FSA/HSA Programs
Commuter Benefits Program
Adoption Assistance Program
Employee Assistance Program (EAP)
Caregiver Support Program
Health Advocacy Program
Financial Wellbeing Support
Goldschmitt and Associates is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Originally posted on Himalayas
Our culture is built on creativity and collaboration. We offer flexible schedules, telework options, and an environment where your ideas truly matter. At G&A, you won’t just clock in—you’ll be solving real-world challenges and working on projects that make a difference in the lives of millions.
Joining our team means becoming part of a vibrant, connected community where innovation thrives, your voice is heard, and your impact is felt. Whether you’re a tech enthusiast, a strategic thinker, or a problem-solver, at G&A, you’ll have the opportunity to level up your career while making a real-world impact.
If you’re ready to be part of a company that values purpose as much as progress, G&A is the place for you!
Summary:
Goldschmitt & Associates is seeking an Enterprise Data/ CRM Architect to provide senior architecture leadership across Federal Student Aid's enterprise data environment, Common Data Model, customer-service platforms, integrations, analytics, and downstream data consumers.
The Enterprise Data / CRM Architect will help FSA create a coherent architecture for how borrower, loan, servicing, operational, and customer-interaction data is defined, governed, shared, and consumed across enterprise systems.
This role operates above individual pipelines or applications. The architect will define how the Common Data Model, Business Needs Layer, APIs, integration services, CRM/customer-care platforms, NSLDS, analytics environments, and other FSA systems work together while maintaining consistent data meaning, ownership, security, lineage, quality, and lifecycle controls.
The Enterprise Data/ CRM Architect must combine strong enterprise data architecture with enough application and integration knowledge to understand how data is created and used across business processes. The architect will work closely with the Senior Data Engineer, Enterprise Integration Architect, CDM Platform Engineer, Analytics Engineer, product leadership, and FSA enterprise architecture teams.
FSA's modernization requires a governed enterprise data capability that normalizes heterogeneous servicer data, improves quality and timeliness, and supports analytics, integrations, and future borrower-facing capabilities.
Job Duties and Responsibilities:
Lead enterprise data architecture across FSA's Common Data Model, Business Needs Layer, CRM/customer-service platforms, servicer integrations, NSLDS, analytics environments, and downstream consumers
Define the target-state architecture for how borrower, loan, servicing, customer-interaction, and operational data flows through the enterprise
Establish architecture principles for authoritative data sources, canonical data structures, shared definitions, data ownership, and system-of-record responsibilities
Define relationships between source-system models, the CDM, semantic/business layers, CRM structures, APIs, analytical models, and downstream applications
Guide development and evolution of canonical enterprise data models
Define approaches for schema versioning, compatibility, data lifecycle management, and controlled evolution of enterprise data structures
Review proposed source-to-CDM mappings and ensure transformations preserve business meaning and support enterprise reuse
Partner with the Senior Data Engineer on schema design, conformance rules, validation strategies, and complex source-data decisions
Define how customer and borrower information should be represented consistently across CRM, servicing, analytical, and digital-service environments
Identify duplicate, conflicting, or overlapping data definitions across platforms and recommend a target enterprise model
Establish patterns for data mastered in one system but consumed or enriched in another
Define architecture for data synchronization, event-driven data exchange, APIs, data products, and other enterprise access patterns
Partner with the Enterprise Integration Architect to ensure interface and integration patterns support the enterprise data model
Establish requirements for data contracts between producers and consumers
Define architecture standards for data quality, lineage, metadata, cataloging, stewardship, and governance
Ensure architecture supports traceability from source through transformation to downstream consumption
Define appropriate controls for sensitive borrower and financial information, including access, security, privacy, auditability, and least-privilege use
Evaluate the architecture impacts of read-only near-real-time servicer integration and future bi-directional exchange
Assess the impact of proposed UBP and customer-service capabilities on enterprise data structures and data services without defining out-of-scope UBP features
Identify technical debt, redundant data movement, tightly coupled integrations, and other architecture patterns that limit reuse or product agility
Develop architecture decision records, reference architectures, data-flow diagrams, data lifecycle plans, interface patterns, and phased modernization roadmaps
Evaluate alternative architectures and clearly document tradeoffs involving cost, complexity, scalability, reliability, security, data quality, and maintainability
Support architecture reviews and provide independent technical recommendations to FSA leadership
Work with product leaders to ensure data architecture decisions support measurable business and borrower outcomes
Work with analytics and HCD teams to ensure enterprise data structures are understandable and useful to business consumers
Help establish an architecture that allows FSA to evolve data products and services without repeatedly rebuilding point-to-point transformations
Mentor engineers and architects on enterprise data architecture practices and promote consistent standards across teams and contractors
Necessary Skills and Knowledge:
Significant experience designing enterprise data architectures across multiple applications and organizational domains
Strong experience with canonical data models, enterprise data models, or Common Data Models
Experience designing data integration patterns across transactional systems, APIs, event streams, analytical platforms, and enterprise applications
Strong understanding of data modeling, relational and analytical data structures, schema design, metadata, lineage, and data quality
Experience defining systems of record, authoritative data sources, data ownership, and enterprise data domains
Strong understanding of APIs, integration architecture, event-driven systems, and distributed application environments
Experience with enterprise CRM or customer-service platforms and the customer/borrower data models that support them
Experience designing data architecture for complex legacy modernization efforts
Ability to understand both logical business models and physical implementation constraints
Experience developing architecture roadmaps, reference architectures, architecture decision records, and phased migration strategies
Strong understanding of security, privacy, access control, and audit requirements for sensitive enterprise data
Ability to evaluate technical alternatives and explain architecture decisions to both technical and executive audiences
Strong collaboration skills across application, integration, data, cloud, security, analytics, product, and business teams
Minimum Qualifications:
Possess at least 12 years of experience in enterprise architecture, data architecture, solution architecture, CRM architecture, or related technical roles
Possess the ability to pass a 6C Public Trust investigation, including US citizenship
Preferred Qualifications:
Federal Government enterprise architecture experience
Department of Education or Federal Student Aid experience
Financial services, lending, loan servicing, or other highly regulated transactional data experience
Experience with borrower, customer, account, transaction, or servicing data models
Experience with Salesforce, Microsoft Dynamics, ServiceNow CSM, or another large enterprise CRM/customer-service platform
Experience with Databricks, Delta Lake, Unity Catalog, or comparable modern data-platform technologies
Experience with cloud-based enterprise data architecture
Experience with REST APIs, event streaming, API gateways, and data contracts
Experience implementing master/reference data management or enterprise data-governance capabilities
Familiarity with Zero Trust, FISMA, FedRAMP, and federal privacy/security requirements
Experience supporting enterprise analytics, semantic layers, data catalogs, and governed self-service data environments
NOTE: This job description is not intended to be an exhaustive list of all duties, responsibilities or qualifications associated with the job. It is intended to describe the general nature and work responsibilities of the position. This job description and the duties of this position are subject to change, modification and addition as deemed necessary by the Company.
Goldschmitt and Associates offers the following benefits:
401(k) with immediate vesting
Paid Federal Holidays
Tuition Reimbursement
Medical Insurance, including Vision and Dental Insurance
Employer-Paid Short-Term and Long-Term Disability
Employer Paid Life Insurance
Supplemental Life Insurance
FSA/HSA Programs
Commuter Benefits Program
Adoption Assistance Program
Employee Assistance Program (EAP)
Caregiver Support Program
Health Advocacy Program
Financial Wellbeing Support
Goldschmitt and Associates is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Originally posted on Himalayas
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