Salesforce Data Cloud Analyst ID50023

AgileEngine; Envigado; Hybrid; COP 374,895,000 - 562,342,000; Full time

Benefits offered by this job

Professional growth opportunities

Competitive compensation

Flextime

Team activity budgets

Job summary

A tech company based in Envigado, Colombia is seeking a Salesforce Data Cloud Business Analyst/Data Engineer. This role combines strategic business analysis with hands-on data engineering on a greenfield data platform. The successful candidate will work closely with marketing teams to translate complex needs into scalable solutions. Must have 6+ years experience, strong skills in SQL, Snowflake, and Salesforce Data Cloud. Competitive compensation and flexible work options are offered.

Qualifications

• 6+ years of experience in Business Analysis and Data Engineering roles.
• Hands-on experience with Salesforce Data Cloud.
• Strong understanding of SQL (basic to intermediate level).
• Strong experience with Snowflake.
• Ability to work with business stakeholders to define and prioritize requirements.
• Profile combining business acumen and data/engineering expertise.
• Upper-intermediate English level.
• Profile combining business acumen and data/engineering expertise.
• Upper-intermediate English level.

Responsibilities

• Partner with marketing stakeholders to analyze and prioritize business requirements.
• Translate business requirements into scalable Salesforce Data Cloud solutions.
• Design and optimize data flows within Salesforce Data Cloud.
• Validate data pipelines using SQL and Snowflake.
• Support analytics and reporting initiatives.
• Collaborate with data teams, Salesforce admins, and business stakeholders to bridge technical and business requirements.
• Contribute to a greenfield implementation of Salesforce Data Cloud.

Skills

Business Analysis

Data Engineering

Salesforce Data Cloud

SQL

Snowflake

Communication Skills

Collaboration

English Proficiency

Tools

Salesforce Data Cloud

SQL

Snowflake

Job description

Overview

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.

Why Join Us

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

About the Role

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.

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.

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).

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.