Salesforce Architect

Optum; Hyderabad, Gurugram District, Bengaluru; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

Optum is seeking a Senior Salesforce Architect to own end-to-end Field Service architecture, including scheduling, data models, and integrations. You will drive governance, DevOps, and security across large, multi-territory implementations.

You will lead a global engineering team, mentor engineers, and shape roadmap in a fast-paced environment. Strong Salesforce Field Service, Apex/Lightning, and integration experience are essential.

Qualifications

• Graduate degree or equivalent experience.
• 11+ years in software development with 5+ years Salesforce experience in architect/lead capacity.
• 5+ years leading engineering and Agile teams with Scrum/SAFe experience.
• 3+ years architecting and delivering Salesforce Field Service including scheduling and data models.
• Deep Apex/Flow/Lightning Web Components experience, legacy Visualforce/Aura knowledge.
• Proven integration architecture across REST/SOAP APIs and middleware like MuleSoft.
• Experience defining enterprise data models, governance, and large-data-volume strategy.
• Salesforce DevOps and release management using SFDX, CI/CD, version control.
• Knowledge of AI on the platform: Einstein, Data Cloud, Agentforce, Prompt Builder.
• Understanding of Sales/Service/Experience Cloud and secure data sharing models.
• Proven large-scale implementation experience and strong requirements elicitation skills.

Responsibilities

• Own end-to-end solution architecture for Salesforce Field Service programs.
• Design scalable, secure solutions and data models across the platform.
• Establish technical governance and release architecture.
• Architect Field Service implementations across work order lifecycle and territories.
• Design scheduling/optimization models tuned to SLA, travel time, and utilization.
• Define mobile/dispatcher architecture and offline configurations.
• Architect asset, maintenance, and inventory models with related SLA enforcement.
• Set Lightning Web Component architecture and migration roadmap.
• Architect integrations using REST/SOAP, Platform Events, and middleware.
• Define middleware architecture with MuleSoft or Boomi and external services.

Skills

Leadership

Agile leadership

Architecture design

Salesforce Field Service

AI on platform

Sales Cloud/Service Cloud

DevOps & CI/CD

Integration patterns

Requirements elicitation

Education

Graduate degree or equivalent experience

Tools

Apex

SOQL/SOSL

Lightning Web Components

REST, SOAP APIs

MuleSoft/Boomi

CI/CD (SFDX)

Einstein AI

Job description

Primary Responsibilities:

• Own end-to-end solution architecture for Salesforce Field Service programs - application intent, target-state design, integration landscape, and governing artifacts including context diagrams, data models, and architecture decision records
• Design scalable, secure solutions across the platform, defending build-vs-configure and AppExchange decisions on total cost of ownership, and defining the org-wide data model, sharing and security architecture, and large-data-volume strategy covering skew mitigation, selective indexing, and archiving
• Establish technical governance: design review gates, Apex and LWC coding standards, DevOps and release architecture, sandbox and environment strategy, and technical debt remediation roadmaps
• Architect Field Service implementations across the work order lifecycle, service appointments, service resources, crews, operating hours, and territory design for [X] technicians in [X] territories
• Design the scheduling and optimization model - scheduling policies, work rules, service objectives, Enhanced Scheduling and Optimization, emergency dispatch, and appointment booking - tuned against SLA attainment, travel time, and technician utilization
• Define mobile and dispatcher architecture: Field Service Mobile offline priming and briefcase rules, mobile flows, service report templates, and Dispatcher Console Gantt configuration and territory visibility
• Architect asset, maintenance, and inventory models - asset hierarchies, maintenance plans and work rules, product items, product requests, part transfers, van stock replenishment - along with entitlement, milestone, and escalation models that enforce contractual SLAs
• Set Lightning Web Component architecture: component library and design system standards, Lightning Data Service vs imperative Apex patterns,Lightning Message Service for cross-component communication, Jest coverage thresholds, and the Aura and Visualforce migration roadmap
• Architect integrations using REST and SOAP APIs, Apex REST, Named Credentials, External Services, and event-driven patterns with Platform Events and Change Data Capture, defining API contracts, canonical data models, idempotency, and retry and dead-letter handling
• Define middleware architecture on [MuleSoft/Boomi], connecting field service to [SAP/Oracle] for parts, invoicing, and warranty, and to [Twilio/Google Maps/DocuSign] for notifications, geocoding, and signed service reports, while governing high-volume data movement and platform limits through Bulk and Composite APIs, asynchronous Apex, Platform Cache, and OAuth 2.0 JWT authentication
• Define the AI architecture for service operations, selecting between Einstein predictive models, Data Cloud, Agentforce, and Prompt Builder based on data readiness and business value
• Design and deploy Agentforce agents and Prompt Builder templates grounded in CRM and Data Cloud data, applying retrieval-augmented generation, the Einstein Trust Layer, prompt versioning, and evaluation practices, with responsible-AI guardrails for data masking, grounding checks, human-in-the-loop review, and audit trails
• Architect predictive use cases such as [first-time fix rate, SLA breach risk, appointment no-show, skill matching], defining the underlying data quality, feature, and monitoring requirements
• Lead and mentor a Salesforce engineering team of [X] across onshore and offshore locations, owning hiring, onboarding, goal setting, performance reviews, career development, and capacity planning across [X] concurrent programs
• Run delivery operations in both Agile and Waterfall models - estimation, sprint and release planning, risk and dependency management, and partner coordination - and define and report metrics on velocity, defect leakage, code coverage, SLA attainment, and release success
• Plan and facilitate requirements elicitation workshops to capture functional and non-functional requirements, involving developers in requirements-stage analysis, and author requirements management plans, BRDs, FRDs, and process and data flow diagrams to best-practice standards
• Serve as escalation point and offshore representative to clients and executive stakeholders, presenting architecture, roadmaps, and status to senior audiences, and build practice capability through certification paths, reusable assets, and capability decks
• Stay hands-on as needed, prototyping complex components and integrations to de-risk designs before handover to the team
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Qualifications - External

Required Qualifications:

• Graduate degree or equivalent experience
• 11+ years in software development, including 5+ years of hands-on Salesforce experience in an architect, technical lead, or engineering management capacity
• 5+ years leading engineering and Agile teams, with 4+ years in Scrum or SAFe and demonstrated people management including hiring, performance management, mentoring, and capability building
• 3+ years architecting and delivering Salesforce Field Service - scheduling policies and optimization, Dispatcher Console, mobile offline configuration, and the work order, asset, and inventory data model
• Deep platform development expertise in Apex, asynchronous Apex, triggers, SOQL and SOSL optimization, Flow, and Lightning Web Components, with Visualforce and Aura for legacy maintenance and migration
• Proven integration architecture experience across REST and SOAP APIs, Apex REST, Platform Events, Change Data Capture, Bulk and Composite APIs, OAuth 2.0 flows, Named Credentials, and middleware such as MuleSoft or Boomi
• Experience defining the data model, large-data-volume strategy, and technical governance standards for an enterprise org
• Salesforce DevOps and release management experience using SFDX, CI/CD pipelines, and version control
• Working knowledge of AI and generative AI on the platform - Einstein prediction and scoring, Agentforce, Prompt Builder, Data Cloud, Einstein Trust Layer - plus core concepts including RAG, prompt engineering, embeddings, and model evaluation and guardrails
• Practical understanding of Sales Cloud, Service Cloud, and Experience Cloud, with the ability to model standard and custom objects and relationships for the right solution fit
• Proven solid command of the Salesforce sharing and security model: OWD, role hierarchy, sharing rules, Apex sharing, field-level security, and record and platform encryption
• Proven track record on large-scale implementations - multi-quarter, multi-team programs with enterprise integration footprints and concurrent project delivery
• Proven solid requirements elicitation skills and excellent verbal, written, and presentation communication with both business and technical audiences