AI Native Software Engineer

Project Role : AI Native Software Engineer
Project Role Description : Build and ship production-ready software using AI as a core part of the engineering lifecycle. Apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve how software is built and operated.
Must have skills : Salesforce Data 360
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
AI Powered Tech Talent. As a Salesforce Data 360 Engineer, you will be a hands-on technical leader driving the delivery of Salesforce Data Cloud solutions across programs and teams. You will support team leads and developers, ensure high-quality and scalable implementations, and act as the primary technical and delivery point of contact. This role is ideal for professionals progressing toward enterprise data leadership and interested in AI, Agentforce, and emerging Data Cloud capabilities. You will lead the design, build, and configuration of Data 360 solutions, guide teams through complex data and identity challenges, and actively participate in problem-solving while ensuring adherence to best practices, governance standards, and business alignment.

Roles & Responsibilities:
- Oversee end-to-end Data 360 delivery by governing data ingestion (batch, streaming, APIs, Zero Copy), data modeling and identity unification, Data Transforms and Calculated Insights, and effective segmentation and activation across Marketing Cloud, Personalization, and AI-driven use cases.
Own solution design reviews and ensure alignment with enterprise data architecture.
Prepare data modeling, DMOs, and relationship design
Act as the primary technical and delivery point of contact for Data 360 initiatives.
Ensure best practices for scalability, performance, and data governance.
Guide teams in designing, building, configuring, and deploying scalable Data Cloud solutions aligned with business requirements.
Review and govern technical designs, ensuring adherence to Data Cloud best practices, performance, and security standard
Partner with business, marketing, analytics, and IT stakeholders to translate requirements into delivery roadmaps.
Drive UAT, go-live readiness, and post-production optimization.
Support defect resolution and optimization activities.
Translate business requirements into actionable technical designs.
Provide effort estimates, delivery plans, and status updates to leadership.


Professional & Technical Skills:
Must Have Skills
Strong hands-on experience with Salesforce Data Cloud (Data 360) in enterprise implementations
Drive adoption of advanced Data Cloud capabilities including Agentforce, Einstein AI, Zero Copy, Semantic Layer, and Document AI. Data Streams & DMOs
Deep understanding of Data Streams, DMOs, Identity Resolution, Data Transforms, Calculated Insights, Segmentation, and Activation.
Proven ability to design and govern data ingestion strategies (batch, streaming, APIs, Zero Copy).
Ability to develop maintainable and scalable solutions.
Strong problem-solving and communication skills.
Advanced SQL skills for analytics and Calculated insights.
Experience with APIs, event data, and cloud data platforms.
Experience working with JSON, APIs, and data integration pipelines.
Understanding of event-based data and customer engagement tracking.
Basic understanding of Salesforce metadata, objects, and permissions.
Good to have Skills:
Experience integrating Data Cloud with Marketing Cloud, Sales Cloud, and Service Cloud.
Knowledge of Marketing Cloud Journeys, Contact Builder, and activation flows.
Exposure to Salesforce Personalization, Agentforce, and Einstein AI is highly desirable.

Soft Skills
Proven experience leading technical teams
Strong communication with technical and non-technical stakeholders
Decision-making and problem-solving mindset
Ability to balance hands-on work with team leadership

Certifications Required:
Salesforce Data Cloud Consultant Mandatory
Salesforce Administrator Mandatory
Agentforce Specialist Preferred
Salesforce AI Associate Preferred
Salesforce Platform Data Architect Preferred


Additional Information:
8-10 years of Salesforce experience.
1-2 years experience in Data 360 implementation projects is required
Experience working in Agile teams.
15 years of full-time education is required.
Experience working with enterprise customers.15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

Equal Employment Opportunity Statement

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