Technical Architect – Tableau Next

Salesforce

. Act as the definitive technical authority for Tableau Next and lead end-to-end migration of dashboards and reporting from legacy BI platforms .

Posted 10/27/2026full-timeHyderabad • IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates comprehensive mastery of Tableau Next and Salesforce Data Cloud, with proven expertise in data governance, migration strategies, and architecture design. Capable of leading complex migrations from legacy BI platforms while ensuring data accuracy, security, and compliance.

Highest-signal resume keywords

Tableau Next MasterySalesforce Data Cloud ExpertiseData Governance Model DesignMigration Strategy DevelopmentSalesforce Certified Administrator

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Advanced DashboardingData IngestionRow-Level Security (RLS)Semantic Layer DesignData Lineage DefinitionData Governance FrameworksMigration from Legacy BI PlatformsAI-Assisted Methods ValidationSalesforce Platform AdministrationAnalytics Development

Soft Skills

Technical CommunicationRisk MitigationClient EngagementWorkshop FacilitationStakeholder Management

Tools & Technologies

Salesforce CRM AnalyticsTableau Embedded AnalyticsSnowflakeDatabricksBigQueryAzure SynapseDbtApache AirflowTableau BridgeTableau Site Architecture

Certifications & Qualifications

Salesforce Certified AdministratorSalesforce Certified CRM Analytics ConsultantSalesforce Certified Einstein Discovery Consultant

Industry Keywords

Business IntelligenceData GovernanceAnalytics SolutionsData MigrationData Security

Tech Stack

Tools & technologies

AirflowApacheAzureBigQueryCloudCognosSnowflakeTableau

About the role

Key responsibilities & impact

Act as the definitive technical authority for Tableau Next and lead end-to-end migration of dashboards and reporting from legacy BI platforms
Design and deliver migrations from Salesforce CRM Analytics, Cognos, Business Objects, MicroStrategy, Power BI, Looker, and legacy Tableau Server to a modern data stack
Own Tableau Next platform architecture, legacy content migration strategy, and feature adoption roadmap
Architect scalable and secure solutions bridging Salesforce Data Cloud with Tableau Next
Use approved enterprise AI tools for architecture documentation, migration mappings, planning, testing, diagnostics, and technical communications
Validate AI-assisted outputs for accuracy, security, privacy, completeness, and governance alignment
Design data governance, policy-based data visibility, and row-level security frameworks
Architect live data connections and optimized models using Analytics, Data 360, and Salesforce knowledge
Own data ingestion directly within Salesforce Data Cloud
Design and build the semantic layer within Salesforce Data Cloud
Translate legacy BI semantic models into Data Cloud Calculated Insights and semantic models
Define end-to-end data lineage and preserve business logic equivalence
Lead functional and technical discovery workshops with client teams
Advise Analytics leaders and Enterprise Architects on migration roadmaps, self-service analytics, and data governance
Establish migration standards, reusable dashboard templates, connection frameworks, validation methods, and governance playbooks
Plan and execute cutover strategies, including BI deprecation, user access migration, and post-go-live enablement
Identify and mitigate technical risks involving credentials, calculated fields, RLS, extract refresh SLAs, data readiness, and AI-assisted outputs
Communicate architecture decisions, migration risks, data limitations, and validation findings to client teams and senior stakeholders

Requirements

What you’ll need

Comprehensive, hands-on mastery of the Tableau Next platform, including advanced dashboarding, platform capabilities, and usage reporting
Deep technical understanding of Salesforce Data Cloud, including data connections, data ingestion, Data Streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), Data Governance, and Calculated Insights
Proven ability to design and execute complex data governance models, including policy-based data visibility and row-level security (RLS)
Proven experience and technical depth in Salesforce CRM Analytics, formerly Einstein Analytics
Advanced ability to design, build, and migrate semantic layers within Salesforce Data Cloud architecture
Deep understanding of Salesforce platform administration, security models, and user management
Functional knowledge of at least one Salesforce Cloud, such as Sales Cloud, Service Cloud, or Financial Services Cloud
Demonstrated ability to use approved enterprise AI tools or comparable authorized AI-assisted methods, with human validation and accountability
Salesforce Certified Administrator certification
Salesforce Certified CRM Analytics and Einstein Discovery Consultant certification
Knowledge of Salesforce Data Cloud One
Experience migrating from IBM Cognos, SAP Business Objects, MicroStrategy, Microsoft Power BI, Looker, or legacy Tableau Server to Tableau Next
Familiarity with Tableau Site and Governance Architecture, including project hierarchy, permission models, and content certification workflows
Understanding of Snowflake, Databricks, BigQuery, and Azure Synapse integrations
Knowledge of dbt, Apache Airflow, or similar orchestration tools
Familiarity with Tableau Embedded Analytics
Understanding of Tableau Bridge
10+ years of general experience in Business Intelligence, analytics, and data platform solutions
5+ years of hands-on analytics development and architecture experience

Benefits

Comp & perks

Benefits and resources to support balance and wellbeing
AI agents to accelerate employee impact
Reasonable accommodations during the application or recruiting process
Equal opportunity and non-discrimination workplace policy