Job Responsibilities:

✦   Support deployment and stress-testing of pilot Data 360 features with customers, identifying platform gaps and feeding structured findings back to Technology and Product.

✦   Assist in feasibility research on novel data unification, activation, and AI-grounding use cases.

✦   Help co-develop hypotheses with Technology and Product teams and support field experiments.

✦   Document engineering observations, ingestion failures, transform errors, and activation gaps with structured evidence.

✦   Participate in beta testing programs for new Data 360 features.

✦   Support technical engagement of new Data 360 products and features alongside senior team members.

✦   Assist in embedding with customer teams to understand their data estate and contribute to solution architecture.

✦   Participate in rapid prototyping and POC cycles to validate technical feasibility.

✦   Build foundational skills as a technical contributor and junior escalation support.

✦   Support customers in building AI-ready data foundations including unified profiles, consent management, and zero-copy integrations.

✦   Contribute to building reusable accelerators, playbooks, and reference architectures.

✦   Support capturing and documenting Voice of Customer inputs with structured field evidence.

✦   Help produce knowledge articles, best practices, and enablement content.

✦   Support qualifying R&D activities including product gap analysis, feasibility prototyping, and non-production R&D activities.

✦   Provide structured access to customer data schemas and configurations to inform product design improvements.

✦   Assist in codifying accelerators, playbooks, and reference architectures.

✦   Participate in beta and pilot programs for incubation-stage products.

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Job Requirements:

✦   2 to 3 years of hands-on experience in enterprise data platforms, SaaS environments, or Salesforce Professional Services.

✦   Working knowledge of Salesforce Data 360 including data ingestion, data model, segmentation, and activation concepts.

✦   Foundational experience with Batch Data Transforms, calculated insights, or streaming ingestion.

✦   Proficiency in SQL and comfort with data modeling and ETL or ELT concepts.

✦   Basic understanding of zero-copy integrations or external data platforms such as Snowflake, BigQuery, AWS.

✦   Awareness of AI grounding concepts such as RAG, vector databases, and unstructured data pipelines.

✦   Familiarity with Data 360 Activation segments, activation targets, and triggered flows.

✦   Exposure to data governance and consent management frameworks.

✦   Ability to document structured field observations in a form actionable by Product and Engineering teams.

✦   Familiarity with Data 360 features including Enhanced Retriever Pre-Filters, Notebook AI, Data Kit deployments, and Dynamic Retriever Filters.

✦   Solid written communication skills.

✦   Certifications such as Salesforce Data 360 Consultant or Salesforce Agentforce Specialist.

✦   Exposure to multi-cloud delivery, integration platforms such as MuleSoft, Informatica, or AWS Glue (preferred).

✦   Basic proficiency in Python or JavaScript for data scripting and automation (preferred).

✦   Exposure to industry-specific data models (preferred).

✦   Experience supporting customer-facing technical engagements (preferred).

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Job Application:

✦   Job Application Type: Link

​      Job Application Link: https://www.naukri.com/job-listings-salesforce-consultant-data-360-salesforce-hyderabad-bengaluru-2-to-3-years-210426500698?src=jobsearchDesk&sid=17768195864055711&xp=20&px=1