CRM Data Architect — Salesforce & GTM Data Systems

Rozgoo

United States

Hybrid

USD 140,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model
Relocation assistance

Job summary

Rozgoo seeks a Data Architect to define and improve data architecture supporting our go-to-market systems and enterprise CRM environment. You will lead efforts to improve Salesforce data and internal data from initial lead acquisition through sales, onboarding, customer success, and support.

You will design scalable data models, establish system-of-record definitions, improve integrations, and lead data-quality and governance initiatives across customer, account, contact, lead, opportunity, and

Qualifications

  • Deep expertise in enterprise data architecture and data governance.
  • Hands-on Salesforce data architecture experience for leads, accounts, contacts, opportunities, and related objects.
  • Experience designing scalable data models, data quality controls, and integration patterns.

Responsibilities

  • Define target architecture for GTM data (customer, account, lead, opportunity, activity).
  • Lead data-cleansing, deduplication, and enrichment initiatives across systems.
  • Architect integrations between Salesforce, data warehouses, and third-party providers.
  • Establish data ownership, metadata, lineage, retention, and access controls.

Skills

Enterprise data architecture
Salesforce data architecture
Data governance
SQL proficiency
Data modeling
Integration design
Master data management
Cloud data warehouses
Security & privacy
Communication of technical decisions

Tools

Salesforce
Clay
PitchBook
ZoomInfo
HG Insights
Cognism
Harmonic
Meticulate
ETL tools

Job description

Rozgoo seeks a Data Architect to define and improve data architecture supporting our go-to-market systems and enterprise CRM environment. You will lead efforts to improve Salesforce data and internal data from initial lead acquisition through sales, onboarding, customer success, and support.

You will design scalable data models, establish system-of-record definitions, improve integrations, and lead data-quality and governance initiatives across customer, account, contact, lead, opportunity, and

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