Top Tech Jobs & Startup Jobs in Pune

Owns enterprise Salesforce data architecture, including scalable data modeling, governance, quality, migration, lifecycle management, security, compliance, performance optimization, integrations, backup and recovery. Leads large data volume strategies, audits data health, establishes data contracts, and mentors Salesforce developers and administrators. Requires extensive Salesforce data architecture experience, ETL expertise, knowledge of relational databases, data warehousing, MDM, privacy regulations, and Salesforce Shield.

Leads enterprise Salesforce data migration initiatives, including strategy, extraction, transformation, cleansing, relationship mapping, API-based loading, and validation. Migrates structured and unstructured data across Salesforce clouds and Data Cloud while supporting Agentforce and RAG readiness. Uses ETL tools, SQL, SOQL, scripting, and automation to process high-volume datasets, preserve data integrity, enforce governance, and meet Salesforce Trust Layer requirements.

Designs and executes enterprise Salesforce and Data Cloud migrations, including ETL, schema and relationship mapping, unstructured data ingestion, high-volume API automation, validation, deduplication, and governance. Prepares clean, standardized, vectorized data for Agentforce and RAG workflows. Works with legacy databases, Salesforce integration tools, SQL, SOQL, and scripting languages to support complex consolidations and AI-ready data architectures.

Design, develop, and support enterprise telephony solutions integrating Amazon Connect with Salesforce Voice and Service Cloud. Build IVR applications, contact flows, intelligent routing, AWS Lambda functions, serverless integrations, and Salesforce voice workflows. Develop REST and SOAP integrations, monitoring, authentication, data synchronization, and automation. Participate in architecture reviews, troubleshoot production issues, document solutions, collaborate with stakeholders, and mentor junior developers.

Develop and deploy scalable Salesforce solutions using Apex, LWC, Flow, integrations, and multi-cloud capabilities. Build Agentforce agents, Einstein prompt experiences, and MCP integrations with external AI models and enterprise systems. Implement CI/CD through Copado or Gearset, maintain test coverage and platform security, and translate functional requirements into technical designs. Apply healthcare or Hi-Tech domain knowledge to create AI-enabled workflows and collaborate with architects, business analysts, and stakeholders.

Lead enterprise Salesforce architecture across multi-cloud, AI, Agentforce, MCP, Data Cloud, MuleSoft, Health Cloud, and Revenue Cloud ecosystems. Govern platform strategy, security, scalability, AI development standards, observability, and technical debt. Lead pre-sales engagements, executive presentations, RFPs, and solution design for healthcare and high-tech clients. Mentor technical teams and define compliant integrations with EHR, ERP, data, and AI platforms.

Owns architecture and solution design for enterprise Salesforce Experience Cloud customer and partner portals. Leads discovery workshops, licensing and security strategy, integrations, customization, risk management, delivery governance, and technical quality. Mentors developers, presents architecture to executive clients, advises on Salesforce releases, and supports pre-sales. Requires deep Experience Cloud expertise across LWC, Aura, Apex, integrations, data security, and large external-user implementations, plus mandatory Salesforce architecture certifications.

Leads client implementations of Xactly Incent and Quota, translating commission and quota requirements into scalable configurations. Responsibilities include workshops, functional and technical design, integrations, testing, reconciliation, reporting, go-live support, troubleshooting, stakeholder communication, delivery leadership, mentoring, and pre-sales support. Requires extensive incentive compensation experience, multiple full-cycle Xactly implementations, strong platform configuration and integration skills, analytical ability, and executive-level communication.

Build and deliver production-grade AI-native and cloud-native solutions, including backend microservices, API integrations, GenAI features, agentic workflows, and intelligent automation. Responsibilities include testing, code reviews, troubleshooting, technical debt reduction, cloud deployment, client technical consulting, proof-of-concept support, mentoring junior engineers, and contributing to engineering frameworks and architecture discussions.

Leads requirements gathering, functional design, configuration, testing, deployment, training, and post-go-live support for Oracle Account Reconciliation Cloud solutions. Develops specifications, test plans, reports, documentation, and training materials; facilitates stakeholder sign-offs, conference room pilots, system integration testing, user acceptance testing, production rollout, and stabilization. Provides ongoing functional support and advises clients on EPM Cloud enhancements and financial reconciliation processes.