ESaaS - SFDC - Lightning UI & JavaScript Development

📍 Job Overview

Job Title: ESaaS - SFDC - Lightning UI & JavaScript Development

Company: Zensar

Location: Pune, Maharashtra, India

Job Type: Full-time

Category: Revenue Operations / Sales Operations / Marketing Operations (Data Cloud Focus)

Date Posted: June 09, 2026

Experience Level: 5-10 Years

Remote Status: Remote OK

🚀 Role Summary

• Spearhead the design, implementation, and optimization of enterprise-scale customer data solutions utilizing Salesforce Data Cloud, a critical component for Revenue Operations and GTM strategies.

• Drive the unification, identity resolution, segmentation, and activation of customer data to empower a true Customer 360 view, enabling personalized customer journeys and AI-driven GTM insights.

• Serve as a key technical consultant, bridging the gap between business stakeholders (Marketing, Sales, Service, IT) and the technical execution of Salesforce Data Cloud initiatives, directly impacting revenue generation and customer retention.

• Leverage expertise in data architecture, data modeling, and integration patterns to build robust and scalable data pipelines that support critical GTM operations and analytics.

📝 Enhancement Note: The job title "ESaaS - SFDC - Lightning UI & JavaScript Development" is somewhat misleading for the core responsibilities described, which heavily lean into Salesforce Data Cloud consulting and implementation. The enhancement focuses on the Data Cloud and its GTM implications, assuming the Lightning UI/JavaScript skills are secondary or supportive of Data Cloud configuration and integration. The role is positioned within Revenue Operations, Sales Operations, and Marketing Operations due to its direct impact on customer data strategy and GTM execution.

📈 Primary Responsibilities

• Design and architect end-to-end customer data solutions within Salesforce Data Cloud, focusing on data ingestion from diverse sources, data harmonization, and building a unified customer profile.

• Configure and manage identity resolution rules, segmentation models, and calculated insights to derive actionable intelligence for GTM teams.

• Develop and implement data activation strategies to push unified customer data and insights into downstream systems (e.g., Marketing Cloud, Sales Cloud, advertising platforms) for personalized campaigns and sales outreach.

• Collaborate closely with business stakeholders to understand their data challenges, translate requirements into technical solutions, and ensure Data Cloud capabilities align with strategic GTM objectives.

• Provide technical expertise on data integration patterns, API usage (REST/SOAP), and ETL/ELT processes, potentially involving tools like MuleSoft, to ensure seamless data flow into and out of Data Cloud.

• Act as a subject matter expert for Salesforce Data Cloud, educating and guiding internal teams and clients on its capabilities and best practices for data management and activation.

• Troubleshoot and resolve data-related issues, ensuring data quality, accuracy, and integrity across all Data Cloud implementations.

• Stay abreast of the latest Salesforce Data Cloud features, industry trends in Customer Data Platforms (CDPs), and evolving GTM data strategies to continuously enhance solutions.

📝 Enhancement Note: The core responsibilities have been expanded to detail the specific stages and activities involved in implementing and managing Salesforce Data Cloud, emphasizing its role in supporting GTM functions like personalization, AI insights, and cross-cloud use cases.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Computer Science, Information Technology, Data Science, Business Administration, or a related field. Equivalent practical experience will also be considered. Experience:

• 5-10 years of progressive experience in Salesforce ecosystem, with a significant focus on data management, data architecture, or CRM consulting.

• Proven experience in designing, implementing, and managing enterprise-scale data solutions, preferably with a Customer Data Platform (CDP) or Data Warehouse background.

• Hands-on experience with Salesforce Data Cloud is highly preferred, including configuration of data ingestion, identity resolution, segmentation, and activation. Required Skills:

• Salesforce Data Cloud: Deep understanding of its architecture, capabilities, and implementation best practices for data ingestion, unification, identity resolution, segmentation, and activation.

• Data Modeling & Architecture: Ability to design robust data models and architect scalable data solutions that support complex business requirements.

• ETL/ELT Processes: Familiarity with data extraction, transformation, and loading processes, including experience with relevant tools or methodologies.

• API Integration: Proficiency in working with REST and SOAP APIs for data integration and system connectivity.

• Stakeholder Management: Excellent ability to engage with business leaders, gather requirements, and communicate technical concepts effectively to non-technical audiences.

• Salesforce Platform Knowledge: Solid understanding of the broader Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud, to ensure seamless cross-cloud integration.

• Problem-Solving: Strong analytical and critical thinking skills to diagnose complex data challenges and devise effective solutions.

Preferred Skills:

• Salesforce Certifications: Salesforce Certified Data Cloud Consultant, Salesforce Certified Platform Administrator, Salesforce Certified Marketing Cloud Consultant.

• MuleSoft: Experience with MuleSoft or other integration platforms for connecting disparate systems.

• JavaScript & Lightning UI: Proficiency in JavaScript and Salesforce Lightning Web Components (LWC) for custom development and UI enhancements, if applicable to Data Cloud configurations or related integrations.

• CRM Administration: Experience with Salesforce CRM administration and configuration.

• Marketing Automation Tools: Familiarity with marketing automation platforms beyond Salesforce Marketing Cloud.

• Einstein AI: Understanding of how AI capabilities can be leveraged within the Salesforce ecosystem, particularly with Data Cloud.

• Consulting Experience: Prior experience in a consulting role, advising clients on data strategy and technology solutions.

📝 Enhancement Note: The skills section has been detailed to reflect the specific technologies and methodologies relevant to Salesforce Data Cloud and its role in GTM operations. Emphasis is placed on Data Cloud expertise, data architecture, and integration, with secondary consideration for UI development if it pertains to Data Cloud configuration or management interfaces.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Data Cloud Implementation Case Studies: Documented examples of designing and implementing Salesforce Data Cloud solutions, showcasing data ingestion, unification, identity resolution, segmentation, and activation strategies.

• Customer 360 Architecture Diagrams: Visual representations of how customer data was unified and architected within Data Cloud to create a comprehensive customer view.

• Segmentation & Activation Examples: Demonstrations of complex segmentation models built within Data Cloud and how those segments were activated across different channels or systems.

• Data Integration Flows: Portfolios showcasing experience with ETL/ELT processes and API integrations (REST/SOAP) used to bring data into or activate data from Data Cloud.

• ROI & Efficiency Improvements: Quantifiable metrics demonstrating the business impact of implemented Data Cloud solutions, such as improved campaign performance, enhanced personalization, or increased data accuracy.

Process Documentation:

• Data Ingestion & Harmonization Workflows: Clear documentation of processes for bringing data from various sources into Data Cloud and transforming it into a standardized format.

• Identity Resolution Configuration: Detailed explanations of how identity resolution rules were configured and validated to ensure accurate customer matching.

• Segmentation Strategy & Execution: Documented approaches to defining target audiences, building segments, and executing activation strategies.

• Data Governance & Quality Assurance: Processes established for maintaining data quality, ensuring compliance, and managing data governance within the Data Cloud environment.

📝 Enhancement Note: This section emphasizes the need for a portfolio that directly demonstrates experience with Salesforce Data Cloud, its core functionalities, and its impact on business outcomes like customer understanding and GTM execution.

💵 Compensation & Benefits

Salary Range:

• INR 12,00,000 - INR 25,00,000 per annum (Approx. $14,400 - $30,000 USD, subject to current exchange rates).
  • Methodology: This estimate is based on industry benchmarks for Salesforce Data Cloud Consultants and Senior Salesforce Developers/Consultants in Pune, India, considering the 5-10 years of experience requirement. Factors such as cost of living in Pune, typical salary ranges for specialized Salesforce roles, and Zensar's profile as a large IT services company were considered. The range accounts for variations in candidate experience, specific skill sets, and negotiation.

Benefits:

• Comprehensive health insurance coverage (medical, dental, vision).

• Retirement savings plan (e.g., Provident Fund).

• Paid time off (annual leave, sick leave, holidays).

• Professional development opportunities, including training, certifications, and conference attendance.

• Flexible working arrangements, including remote work options.

• Employee assistance programs for well-being and support.

• Opportunities for performance-based bonuses and incentives. Working Hours:

• Standard full-time hours (approximately 40 hours per week), with flexibility to accommodate project deadlines and global team collaboration.

• Potential for occasional evening or early morning calls to align with international stakeholders.

📝 Enhancement Note: A salary range based on Indian market rates for similar roles has been provided, along with a clear explanation of the methodology. Standard corporate benefits relevant to a large IT services firm have been listed.

🎯 Team & Company Context

🏢 Company Culture

Industry: Information Technology & Services, Digital Transformation, Consulting.

Company Size: Zensar is a large enterprise, employing over 10,000 people globally. This size indicates a structured environment with established processes, potential for diverse career paths, and access to extensive resources. For operations professionals, this means opportunities to work on large-scale, complex projects with significant impact, but also a need to navigate internal processes and collaborate across many departments.

Founded: Zensar Technologies was founded in 1991. Its long history suggests stability, deep industry expertise, and a proven track record in delivering IT solutions to enterprises.

Team Structure:

• The role likely sits within a Salesforce practice or a Digital Transformation unit, part of Zensar's broader consulting and implementation services.

• The operations professional will report to a Salesforce Practice Lead, Delivery Manager, or Project Manager, and will work closely with a team of Salesforce developers, administrators, business analysts, and solution architects.

• Cross-functional collaboration is essential, involving client-side stakeholders from Marketing, Sales, IT, and Analytics departments, as well as internal Zensar teams. Methodology:

• Zensar emphasizes an "experience-led everything" approach, suggesting a focus on user experience and customer-centricity in their solutions.

• Their core values ("One Zensar, Nurturing, Empowering, Client Focus") indicate a culture that values teamwork, employee development, and strong client relationships.

• In terms of operations, this translates to a data-driven approach focused on delivering measurable business outcomes and exceptional client experiences through well-architected and implemented solutions.

Company Website: https://www.zensar.com/

📝 Enhancement Note: Company context has been synthesized from the provided description and general knowledge of Zensar, focusing on aspects relevant to an operations professional's experience within a large IT consulting firm.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-to-senior level consultant or specialist. It requires significant hands-on experience with Salesforce Data Cloud and related technologies, coupled with the ability to design and architect solutions. The role demands a blend of technical expertise and business acumen to translate client needs into effective data strategies.

Reporting Structure: The role typically reports into a Salesforce Practice Lead, a Project Manager, or a Delivery Manager within Zensar's consulting arm. Collaboration will extend to client-side counterparts, including IT leaders, marketing operations managers, and sales operations directors.

Operations Impact: The primary impact of this role is enabling clients to achieve a comprehensive Customer 360 view, which directly fuels more effective GTM strategies. This includes improving customer segmentation for targeted campaigns, enabling personalized customer experiences, enhancing AI-driven insights for better decision-making, and facilitating seamless data flow across marketing, sales, and service clouds, all of which contribute to increased revenue and customer lifetime value.

Growth Opportunities:

• Specialization: Deepen expertise in Salesforce Data Cloud, CDP technologies, data governance, and advanced analytics.

• Leadership: Progress into roles like Senior Solution Architect, Data Strategy Lead, or Practice Manager, leading teams and client engagements.

• Cross-functional Expertise: Expand knowledge into related areas such as AI/ML applications, advanced analytics, or other Salesforce clouds.

• Certifications: Pursue advanced Salesforce certifications to validate expertise and enhance marketability.

• Client Relationship Management: Develop strong client-facing skills, leading to roles with greater client advisory and strategic influence.

📝 Enhancement Note: Analysis of career progression is tailored towards specialized data and Salesforce roles within a consulting environment, highlighting the specific growth paths available for individuals with Data Cloud expertise.

🌐 Work Environment

Office Type: Zensar operates with a hybrid model, offering flexibility. While this role is listed as "Remote OK," it suggests that a blend of remote work and in-office collaboration at Zensar's Pune location is possible, especially for team meetings, client workshops, or critical project phases.

Office Location(s): The primary specified location is Pune, Maharashtra, India, at Plot No. 4, MIDC, Kharadi. Zensar has multiple global offices, indicating potential for international project exposure.

Workspace Context:

• The work environment is expected to be collaborative, involving frequent interaction with internal Zensar teams and external clients.

• Access to robust IT infrastructure, development tools, and Salesforce sandbox environments will be standard.

• Opportunities for knowledge sharing through internal forums, team meetings, and project debriefs are likely.

Work Schedule: A standard 40-hour work week is typical, but project demands may require occasional extended hours. Flexibility is a key aspect, especially for remote work, allowing for better work-life integration. However, responsiveness during core business hours and for critical client needs is expected.

📝 Enhancement Note: The work environment is described with a focus on the hybrid and remote-friendly nature of the role, emphasizing collaboration and the tools necessary for a data-focused role within a consulting firm.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter call to assess basic qualifications, experience, and cultural fit. Be prepared to briefly explain your experience with Salesforce Data Cloud and your understanding of its GTM applications.

• Technical Interview(s): In-depth discussions with hiring managers and/or senior technical team members. Expect questions on Data Cloud architecture, data modeling, identity resolution, segmentation, data activation, API integrations, and problem-solving scenarios.

• Case Study/Presentation: Candidates may be asked to present a portfolio piece or work through a hypothetical client scenario involving Data Cloud implementation. This assesses your ability to translate business needs into technical solutions and communicate effectively.

• Final Interview: May involve senior leadership or client stakeholders to assess strategic thinking, client management skills, and overall fit.

Portfolio Review Tips:

• Data Cloud Focus: Prioritize projects directly involving Salesforce Data Cloud. If Data Cloud experience is limited, highlight related CDP, data warehousing, or complex CRM integration projects.

• Quantify Impact: For each project, clearly articulate the business problem, your role, the solution implemented, and – most importantly – the measurable business outcomes (e.g., increased conversion rates by X%, improved customer segmentation accuracy by Y%, reduced data processing time by Z%).

• Showcase Process: Demonstrate your understanding of the end-to-end Data Cloud lifecycle: data ingestion, unification, identity resolution, segmentation, and activation. Use diagrams and flowcharts.

• Technical Depth: Be ready to discuss the technical details of your implementations, including specific configurations, data models, API usage, and any custom development (JavaScript/Lightning if applicable).

• Conciseness: Present a curated selection of your strongest work, focusing on relevance to the role.

Challenge Preparation:

• Data Modeling Exercise: Be prepared to sketch out a data model for a specific customer data scenario.

• Segmentation Scenario: You might be asked to define criteria for a specific customer segment (e.g., high-value customers, churn risks) and how you would activate it.

• Integration Challenge: Discuss how you would integrate a new data source into Data Cloud or activate data to a specific marketing platform.

• Problem Diagnosis: Be ready to troubleshoot a hypothetical data quality or integration issue within Data Cloud.

📝 Enhancement Note: The interview process and portfolio advice are tailored to a specialized Salesforce Data Cloud role, emphasizing practical application, measurable results, and strategic thinking.

🛠 Tools & Technology Stack

Primary Tools:

• Salesforce Data Cloud: Core platform for customer data management, unification, segmentation, and activation.

• Salesforce Platform: Understanding of core Salesforce objects, configurations, and administration.

• CRM Platforms: Primarily Salesforce Sales Cloud and Service Cloud, for integration and context.

• Marketing Automation: Salesforce Marketing Cloud, or similar platforms like Adobe Marketing Cloud, HubSpot, Marketo.

• Integration Tools: MuleSoft, Informatica, or other enterprise integration platforms.

Analytics & Reporting:

• Salesforce Einstein Analytics (Tableau CRM): For advanced analytics and dashboarding on unified data.

• BI Tools: Tableau, Power BI, Looker for broader data analysis and visualization.

• Reporting Tools: Salesforce Reports & Dashboards for standard reporting.

CRM & Automation:

• Salesforce CRM: As the central hub for customer data.

• ETL/ELT Tools: Tools for data transformation and loading (e.g., AWS Glue, Azure Data Factory, custom scripts).

• API Management Tools: For monitoring and managing API integrations.

📝 Enhancement Note: The technology stack is specifically focused on Salesforce Data Cloud and its surrounding ecosystem, including related Salesforce products, integration tools, and analytics platforms relevant to customer data strategy.

👥 Team Culture & Values

Operations Values:

• Client Focus: A strong commitment to understanding and exceeding client expectations by delivering effective and impactful data solutions.

• Data-Driven Decision Making: Emphasis on using data to inform strategies, measure results, and drive continuous improvement in client operations.

• Collaboration: Fostering a team-oriented environment where knowledge is shared, and collective problem-solving is encouraged across internal teams and with clients.

• Innovation & Continuous Learning: Encouraging exploration of new technologies and methodologies, particularly within the rapidly evolving Salesforce Data Cloud and CDP landscape.

• Efficiency & Optimization: A drive to streamline processes, automate tasks, and optimize data flows for maximum operational efficiency and GTM effectiveness.

Collaboration Style:

• Cross-Functional Integration: Proactive engagement with marketing, sales, service, and IT teams to ensure data solutions align with diverse business needs.

• Agile Methodologies: Likely to work in an agile or iterative manner, involving frequent feedback loops with stakeholders to refine solutions.

• Knowledge Sharing: Active participation in team meetings, internal forums, and documentation to share best practices and learnings.

• Solution-Oriented: A pragmatic approach focused on finding the best technical solutions to solve business challenges, rather than just implementing technology for its own sake.

📝 Enhancement Note: The team culture and values are inferred from Zensar's stated values and the nature of a client-facing consulting role focused on data solutions.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving Technology: Salesforce Data Cloud is a relatively new and continuously developing product. Staying current with new features and best practices requires ongoing learning.

• Complex Data Landscapes: Integrating diverse, often messy, data sources from various client systems can be technically challenging and time-consuming.

• Stakeholder Alignment: Ensuring alignment across multiple client departments with potentially conflicting priorities and data requirements can be difficult.

• Demonstrating ROI: Clearly quantifying the business value and ROI of Data Cloud implementations can be challenging, requiring robust measurement strategies.

• Data Governance & Privacy: Navigating evolving data privacy regulations (e.g., GDPR, CCPA) and implementing robust data governance practices adds complexity.

Learning & Development Opportunities:

• Salesforce Data Cloud Specialization: Become a go-to expert in this critical and high-demand area.

• Advanced Analytics & AI: Opportunities to work with AI-driven insights and advanced analytics capabilities within Salesforce.

• Cross-Cloud Expertise: Gain deeper knowledge of other Salesforce clouds (Sales, Service, Marketing) and how Data Cloud integrates with them.

• Consulting & Client Management: Develop strong client-facing skills, project management, and strategic advisory capabilities.

• Industry Certifications: Pursue advanced Salesforce certifications to enhance professional credibility.

📝 Enhancement Note: Challenges and growth opportunities are framed around the specific domain of Salesforce Data Cloud and its implementation within a consulting context.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex customer data unification challenge you've solved using a CDP or Data Cloud. What was your approach to identity resolution and data harmonization?" (Focus on process, tools, and outcomes.)

• "How would you design a customer segmentation strategy for an e-commerce client looking to increase repeat purchases? Walk me through the Data Cloud configuration and activation process." (Demonstrate strategic thinking and practical application.)

• "Imagine a client wants to personalize their website experience based on real-time customer data. How would you leverage Salesforce Data Cloud to achieve this, and what integration points would be critical?" (Showcase understanding of data activation and cross-cloud use cases.) Company & Culture Questions:

• "Based on Zensar's 'experience-led everything' philosophy, how would you ensure your Data Cloud solutions contribute to superior customer experiences?" (Connect your work to company values.)

• "How do you approach collaboration with diverse stakeholders, such as marketing, sales, and IT departments, to ensure successful data solution implementation?" (Highlight your stakeholder management skills.)

• "How do you measure the success and business impact of a Salesforce Data Cloud implementation?" (Prepare metrics and ROI examples.) Portfolio Presentation Strategy:

• Problem-Solution-Result Framework: For each case study, clearly articulate the client's problem, your proposed Data Cloud solution, the implementation steps, and the quantifiable results achieved.

• Visual Aids: Use architecture diagrams, data flow charts, and sample dashboards to illustrate your points effectively.

• Technical Detail: Be prepared to dive into the technical specifics of your implementations, including data models, segmentation logic, and integration methods.

• Concise Storytelling: Present your projects in a clear, engaging narrative that highlights your expertise and problem-solving capabilities.

📝 Enhancement Note: Interview preparation advice is highly targeted towards Salesforce Data Cloud, focusing on scenario-based questions, portfolio presentation, and alignment with Zensar's stated values.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Oracle Cloud link.

• Resume Optimization: Tailor your resume to highlight specific experience with Salesforce Data Cloud, CDP implementation, data modeling, identity resolution, segmentation, data activation, and relevant integration technologies (APIs, ETL/ELT). Use keywords from the job description and this enhanced listing.

• Portfolio Preparation: Curate a portfolio that showcases your most relevant Data Cloud projects. Focus on quantifiable achievements and clear documentation of your role, the challenges, your solutions, and the business impact. Be ready to present 1-2 key projects in detail during an interview.

• Technical Refresher: Brush up on Salesforce Data Cloud concepts, common data integration patterns, and core Salesforce platform functionalities. If the role emphasizes Lightning UI/JavaScript, ensure your knowledge in those areas is current.

• Company Research: Familiarize yourself with Zensar's services, client success stories, and company values. Understand their "experience-led everything" approach and how Data Cloud solutions contribute to it.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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