AgileEngine - Salesforce Data Cloud Engineer ID50023

Data Analyst is needed in Recife, Brazil.

Client: AgileEngine

Location: Recife, PE, br

Contract: Freelance

Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

This Salesforce Data Cloud Business Analyst / Data Engineer (Lead/Architect) role goes beyond traditional analysis, combining strategic business impact with hands-on work on a greenfield data platform. You will shape how marketing and product teams leverage Salesforce Data Cloud by turning complex needs into scalable, data-driven solutions with real influence on decision-making. The role offers exposure to end-to-end data flows, close stakeholder collaboration, and the opportunity to help define best practices from day one while growing at the intersection of analytics and data engineering.

Requirements

MUST HAVES

• 6+ years of experience in roles combining Business Analysis and Data Engineering;
• Hands-on experience with Salesforce Data Cloud;
• Strong understanding of SQL (basic to intermediate level);
• Strong experience with Snowflake;
• Technical background in IT, data, or engineering roles;
• Ability to work closely with business stakeholders, especially marketing teams, to define and prioritize requirements;
• Strong communication skills with the ability to translate business needs into technical solutions;
• Profile combining business acumen and data/engineering expertise;
• Upper-intermediate English level.

NICE TO HAVES

• Experience or familiarity with Customer 360, analytics enablement, or Master Data Management (MDM) concepts;
• Experience working in marketing data or customer data platforms (CDPs).

What You Will Do

• Partner closely with marketing stakeholders and product managers to gather, analyze, and prioritize business requirements;
• Translate business requirements into scalable Salesforce Data Cloud use cases and solutions;
• Design, implement, and optimize data flows and integrations within Salesforce Data Cloud;
• Validate data pipelines using SQL and Snowflake to ensure data accuracy, consistency, and reliability;
• Support analytics and reporting initiatives by delivering high-quality, well-structured data;
• Collaborate with data teams, Salesforce admins, and business stakeholders to bridge technical and business requirements;
• Contribute to a greenfield implementation of Salesforce Data Cloud.

Perks and Benefits

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.