Remote Salesforce Data Cloud Developer

Description:

• The Salesforce Data Cloud Developer will write, optimize, and troubleshoot SQL queries within the Snowflake environment, ensuring efficient data manipulation, transformation, and retrieval.
• This role involves designing, developing, and implementing Salesforce Data Cloud solutions to ingest and manage data from various sources, including web, mobile, Snowflake, and external systems.
• The developer will develop and optimize data pipelines between Salesforce Data Cloud and Snowflake, ensuring efficient data processing.
• Responsibilities include implementing ETL/ELT processes using Snowflake to transform and load data from various sources, ensuring data integrity and quality.
• The position requires managing data partitioning, clustering, and materialized views within Snowflake to optimize query performance and storage costs.
• The developer will implement data ingestion pipelines using Salesforce Ingestion API and configure Web and Mobile SDKs to capture and sync customer interaction data.
• They will develop and maintain Data Model Objects (DMOs) and Data Lake Objects in Salesforce Data Cloud and Snowflake to efficiently store and organize customer data.
• Building and configuring Identity Resolution (IDR) processes to unify customer profiles across multiple data sources and systems is also a key responsibility.
• The role includes creating and deploying Calculated Insights to generate metrics and actionable insights that enhance customer profiles and segmentation.
• The developer will develop complex Segmentation logic to define audiences for marketing and customer engagement campaigns, based on behavior, demographics, and other key attributes.
• Supporting the activation of customer segments across multiple marketing channels, working with Salesforce Marketing Cloud or other integrated platforms, is required.
• Ensuring data flows seamlessly between Salesforce Data Cloud, Snowflake, and other external systems, ensuring data quality and integrity, is essential.

Requirements:

• Candidates must have 3+ years of hands-on experience developing solutions with Salesforce Data Cloud (formerly Salesforce CDP).
• A minimum of 2+ years of experience working with Snowflake, with a strong focus on writing and optimizing SQL queries in Snowflake, is required.
• Expertise in Snowflake's data sharing capabilities for secure and efficient data collaboration with internal and external stakeholders is necessary.
• Proficiency in data modeling, working with Data Model Objects (DMOs) and Data Lake Objects in both Salesforce and Snowflake environments, is essential.
• Experience building and optimizing ETL/ELT processes for data ingestion and transformation using Snowflake is required.
• Candidates must have expertise in Identity Resolution (IDR) and profile unification techniques to create single customer views.
• Proven ability to implement Calculated Insights to derive actionable metrics from customer data is necessary.
• Proficiency in designing and building Segmentation strategies to deliver personalized experiences is required.
• Familiarity with Snowflake features like Time Travel, Cloning, and Zero-Copy Cloning is expected.
• Familiarity with APIs and data integration tools such as MuleSoft or other middleware solutions is necessary.

Benefits:

• This position offers the flexibility of remote work, allowing for a better work-life balance.
• As a contracted role, it provides opportunities for experienced professionals to work on diverse projects.
• The role allows for the development of advanced skills in Salesforce Data Cloud and Snowflake, enhancing career growth.
• Working with cutting-edge technologies and methodologies in data management and analytics is a key benefit.
• The position provides the chance to collaborate with various teams and stakeholders, enhancing professional networking opportunities.