Sales Data Steward – Salesforce Administration Associate

Huron

. Execute and maintain sales data quality within Salesforce and downstream systems .

Posted 11/1/2026full-timeBangalore • IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Salesforce Administration and CRM data management, focusing on data quality, integrity, and operational excellence. Proficient in executing bulk data operations and implementing data governance standards while collaborating effectively across teams.

Highest-signal resume keywords

Salesforce Administrator CertificationCRM Data ManagementData Quality Tools ExperienceSQL ProficiencyDatabricks Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Salesforce AdministrationData Quality ManagementBulk Data OperationsData Manipulation Using SQLNormalization and SegmentationDuplicate ManagementData Governance StandardsData Profiling and MonitoringReporting StructuresData Integration Patterns

Soft Skills

Strong Communication SkillsOrganizational SkillsAbility to Work Across Time ZonesOwnership and AccountabilityCoaching and Review Acceptance

Tools & Technologies

SalesforceData LoaderRingLeadLeanDataDemandToolsMicrosoft Power BIAzure DevOpsPardotZoomInfoWorkday

Certifications & Qualifications

Salesforce Administrator CertificationRelevant Salesforce Certifications

Industry Keywords

Data Quality ConceptsData GovernanceRevOps MetricsSales Data LifecyclesData Pipeline ConceptsBusiness Glossary ConceptsAI Tools ExperienceAgile Delivery Tools

Tech Stack

Tools & technologies

AzureSQL

About the role

Key responsibilities & impact

Execute and maintain sales data quality within Salesforce and downstream systems
Investigate data quality issues, trace their origins, identify patterns, and recommend upstream fixes
Execute bulk updates, corrections, and remediation across Salesforce Accounts, Contacts, Leads, Opportunities, Activities, and Cases
Apply validation, backup, and rollback practices to protect data integrity
Execute approved data-scoped Salesforce configuration in sandbox and production following IT technical standards and approval processes
Analyze field usage and deactivate unused or deprecated fields
Tune duplicate and matching rules and merge records
Configure CRM data quality tooling, including normalization, segmentation, and enrichment mappings
Maintain picklist values and restricted-picklist hygiene
Correct account hierarchies, ownership, and record types
Clean up report types, list views, dashboards, and reporting assets
Identify recurring manual data tasks for AI or automation, prototype approved approaches, and report results
Maintain report and dashboard inventories and support consistent reporting and field standards
Operationalize data governance standards, DQ rules, and stewardship models
Support client/account and contact mastering, deduplication, matching, survivorship, enrichment, and normalization
Assist with data quality profiling, monitoring, issue triage, and DQ metrics reporting
Contribute over time to data pipelines, integrations, and Databricks work
Produce and maintain documentation, remediation procedures, playbooks, and quick-reference guides
Partner with Growth Enablement, IT Salesforce Product Support, Analytics, Data Governance, engineering, and governance leads across functions and time zones

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, or related field
Current, active Salesforce Administrator certification (required)
2-4 years of relevant experience in CRM data management, Salesforce administration, data quality, or data operations
Experience executing mass data updates and bulk Salesforce operations using tools such as Data Loader and data import/export tools
Experience investigating data quality issues, identifying root causes, and recommending or executing resolutions
Solid understanding of the Salesforce data model, records, fields, matching/duplicate rules, reporting structures, and sharing/visibility basics
Ability to interpret existing validation rules, automation, and integration touchpoints to diagnose data issues and escalate appropriately
Hands-on experience with duplicate management and data quality tools such as RingLead, LeanData, or DemandTools
Experience with normalization, segmentation, matching/merge criteria, and enrichment rules
Demonstrated use of AI tools and ability to describe an automation or simplification achieved with AI
Proficiency with data manipulation using SQL or spreadsheet-based transformation
Familiarity with data quality concepts including completeness, conformity, deduplication, and hierarchy integrity
Strong communication and organizational skills
Ability to work effectively with US- and Canada-based analytics leads across time zones
Ability to work to another team's technical standards and receive coaching and review
Ability to maintain high standards for accuracy and completeness, take ownership, and escalate issues appropriately
Databricks experience is strongly desired
Exposure to data pipeline/data engineering concepts and CRM-to-warehouse/BI integration patterns
Familiarity with Salesforce CRM Analytics and Microsoft Power BI
Experience with sales data lifecycles, pipeline management, and RevOps metrics
Familiarity with data governance or stewardship practices, DQ scorecards, and business glossary concepts
Exposure to Pardot, ZoomInfo, and Workday integrations
Relevant Salesforce certifications beyond Administrator are a plus
Experience with Agile delivery tools such as Azure DevOps
Experience creating playbooks and quick-reference guides

Benefits

Comp & perks

Hybrid work arrangement
Training will be provided for Databricks experience
Opportunities to develop data engineering and Databricks capability
Opportunities to apply AI and automation to manual data work
Coaching and review from outside the direct reporting line
Continuous learning and development opportunities