

Droisys
Data Analytics Lead Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analytics Lead Engineer with 10-12 years of experience, focusing on Salesforce Service Cloud and requiring expertise in Google BigQuery, DBT, and Tableau. The contract is open, based in San Diego, CA, with remote options available.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Diego, CA
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🧠 - Skills detailed
#dbt (data build tool) #BigQuery #Agile #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Scala #Tableau #Cloud #Oracle #Datasets #Strategy #Data Transformations #CRM (Customer Relationship Management) #Data Engineering
Role description
Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.
Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.
Role : Data Analytics Lead Engineer
Location: San Diego, CA ( Preferred Local Remote is also fine)
Contract Role
Rate : Open
Role Overview: Data Analytics Lead Engineer
We are looking for an accomplished Data Analytics Lead Engineer who possesses robust expertise in designing and delivering analytics solutions, with Salesforce Service Cloud (SFSC) serving as the primary source system. The ideal candidate must have deep, hands-on experience with Google BigQuery and DBT, encompassing data modelling and analytics architecture. Additionally, the role demands the capability to comprehend SFSC and Oracle Service Cloud (OSC) data models and workflows to create scalable reporting, generate actionable business insights, and support strategic decision-making.
Experience Requirements
• A minimum of 10 to 12 years of experience in Data Engineering and Analytics roles. Technical Skills and Tools Advanced proficiency with Google Big Query, including complex SQL development, performance tuning, and managing large-scale datasets.
• Expertise in DBT for data transformations, data modelling best practices, and dependency management. Strong foundation in data modelling and analytics solution architecture. Experience in designing Tableau dashboards and enterprise reporting, with a focus on performance optimization.
Platform and Domain Expertise
• Demonstrated ability in building analytics layers on top of Salesforce Service Cloud (SFSC) data sources. Proven track record in developing CRM-sourced analytics, preferably using Salesforce Service Cloud. Prior experience in leading or owning analytics design for enterprise-level platforms. Adeptness in collaborating with cross-functional and geographically distributed teams. Comprehensive familiarity with Salesforce Service Cloud (SFSC) and/or Oracle Service Cloud (OSC) data models. Solid understanding of service workflows, including cases, customer interactions, and SLAs.Experience in sourcing, interpreting, and customising CRM/service data to address analytics requirements.
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment
Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.
Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.
Role : Data Analytics Lead Engineer
Location: San Diego, CA ( Preferred Local Remote is also fine)
Contract Role
Rate : Open
Role Overview: Data Analytics Lead Engineer
We are looking for an accomplished Data Analytics Lead Engineer who possesses robust expertise in designing and delivering analytics solutions, with Salesforce Service Cloud (SFSC) serving as the primary source system. The ideal candidate must have deep, hands-on experience with Google BigQuery and DBT, encompassing data modelling and analytics architecture. Additionally, the role demands the capability to comprehend SFSC and Oracle Service Cloud (OSC) data models and workflows to create scalable reporting, generate actionable business insights, and support strategic decision-making.
Experience Requirements
• A minimum of 10 to 12 years of experience in Data Engineering and Analytics roles. Technical Skills and Tools Advanced proficiency with Google Big Query, including complex SQL development, performance tuning, and managing large-scale datasets.
• Expertise in DBT for data transformations, data modelling best practices, and dependency management. Strong foundation in data modelling and analytics solution architecture. Experience in designing Tableau dashboards and enterprise reporting, with a focus on performance optimization.
Platform and Domain Expertise
• Demonstrated ability in building analytics layers on top of Salesforce Service Cloud (SFSC) data sources. Proven track record in developing CRM-sourced analytics, preferably using Salesforce Service Cloud. Prior experience in leading or owning analytics design for enterprise-level platforms. Adeptness in collaborating with cross-functional and geographically distributed teams. Comprehensive familiarity with Salesforce Service Cloud (SFSC) and/or Oracle Service Cloud (OSC) data models. Solid understanding of service workflows, including cases, customer interactions, and SLAs.Experience in sourcing, interpreting, and customising CRM/service data to address analytics requirements.
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment






