Data Cloud

Job Description

Primary Responsibilities :

– Technology Stack : Snowflake, Salesforce, Salesforce Data Cloud, CRM Analytics (CRMA), Einstein

Data Engineering & Analytics Enablement:

– Design, build, and maintain scalable data pipelines feeding analytics and AI use cases

– Develop and manage analytics?ready datasets in Snowflake and/or Salesforce Data Cloud

– Apply strong data modeling practices to support BI, dashboards, and predictive analytics

– Ensure data quality, reliability, and performance across analytics workloads

Medallion Architecture & Data Maturity (Core Requirement):

– Design and operate within a medallion architecture (Bronze / Silver / Gold)

– Build and curate Gold?layer datasets optimized for BI and AI consumption

– Partner with BI developers and stakeholders to ensure :

– Business logic is implemented upstream

– Dashboards remain performant, consistent, and reusable

– Assess data readiness and maturity before advancing analytics or AI use cases

BI & Analytics Platform Support:

– Enable CRM Analytics (CRMA) dashboards by delivering trusted, well’s tructured datasets

– Partner with BI developers and analysts to :

– Translate reporting requirements into data models

– Optimize datasets for performance and reuse

– Support metric standardization and semantic consistency across reporting solutions

AI & Einstein Enablement:

– Prepare and curate datasets used by Salesforce Einstein (e.g., predictions, discovery models)

– Support feature engineering and data readiness for AI use cases

– Collaborate with analytics and governance teams to ensure AI inputs are explainable and reliable

Qualifications :

Required Qualifications :

– Bachelor’s degree or equivalent experience

– 6+ years of experience in Data Engineering or Analytics Engineering

– Solid experience with Snowflake or similar cloud data platforms

– Advanced SQL skills (complex transformations, performance optimization)

– Experience building analytics?ready data models for BI tools

– Experience supporting BI and analytics platforms (CRMA, Tableau, Power BI, etc.)

– Experience with Salesforce Data Cloud and data integration patterns

– Experience supporting Einstein or AI?driven analytics use cases

– Python experience for data pipelines, automation, or advanced transformations

– Healthcare or regulated data environment experience

– Solid understanding of medallion data architecture and data maturity concepts

– Proven exposure to Salesforce CRM Analytics (CRMA) datasets or enablement

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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