Salesforce Data Quality & Deduplication Lead

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services

Position: Salesforce Data Quality & Deduplication Lead

Location: Atlanta, GA

Duration: 6 Months

Job Type: Temporary Assignment

Work Type: Hybrid

Job Description:

• We are seeking an experienced Salesforce Data Quality & Deduplication Lead to drive Salesforce data quality initiatives across our Sales Cloud and Health Cloud environments.
• This role requires deep expertise in Salesforce data models, data governance, matching and merging strategies, deduplication frameworks, and Salesforce integration patterns.

Required Technical Skills:

• 10+ years of experience working with Salesforce Sales Cloud and/or Health Cloud.
• Deep knowledge of Salesforce Account, Lead, Contact, Opportunity, and related object data models.
• Strong understanding of Salesforce record relationships, sharing models, and data architecture.
• Proven experience as a Salesforce Data Architect, Data Steward, or Data Quality Lead.
• Advanced proficiency in SOQL.
• Experience with Salesforce data migration, data cleansing, deduplication, and record merge processes.
• Good understanding of Apex and Batch Apex development.
• Experience designing and implementing matching, scoring, survivorship, and merge rules.
• Working knowledge of Salesforce integrations and data synchronization patterns.
• Experience with custom objects, automation, workflows, flows, and platform events.
• Strong ETL and data integration experience using tools such as Informatica, MuleSoft, Talend, SSIS, or similar platforms is preferred.
• Experience with both real-time and batch integrations.
• Ability to independently analyze, document, articulate findings, and present executive-level recommendations.
• Ability to assess business impact and recommend optimal remediation strategies.

Key Deliverables:

Salesforce Data Quality Assessment:

• Comprehensive Salesforce Data Quality Assessment Report.
• Current-state analysis documenting duplicate trends, root causes, affected objects, and associated business impacts.

Data Remediation Strategy:

• Historical data remediation strategy, including recommended:
  • Matching rules
  • Scoring rules
  • Survivorship rules
  • Merge processes and governance

Future-State Operating Model:

• Ongoing duplicate detection and prevention framework.
• Daily merge processing and data stewardship processes.
• Data quality governance recommendations.

Solution Architecture & Technical Recommendations:

• Recommendations covering:
  • Salesforce native capabilities
  • Apex-based solutions
  • ETL and batch-processing approaches
  • Integration and event-driven publishing mechanisms

Implementation Roadmap:

• Effort estimation
• Risk assessment
• Implementation roadmap outlining the recommended path forward

Documentation:

• Complete documentation of all research, analysis, findings, and recommendations suitable for both technical and business stakeholders.

Main Improvements:

• Corrected grammar, punctuation, and capitalization.
• Standardized Salesforce terminology and technical skill descriptions.
• Improved readability with clear sections and deliverables.
• Enhanced professionalism and consistency for client-facing use.

TekWissen Group is an equal opportunity employer supporting workforce diversity.