Salesforce Data Engineer

Responsibilities

• ● We are seeking a highly skilled Data Engineer to join our innovative Digital Integration & Optimization team comprised of passionate data professionals who combine a diverse range of knowledge, skills, experience, and expertise to deliver world class solutions enabling a data driven organization.
• ● The ideal candidate for this role will have extensive experience collaborating with cross-functional teams to deliver, monitor, and maintain high-quality data workflows. You will play a key role in constructing, testing, monitoring, maintaining, and enhancing critical data pipelines between multiple databases and business systems vital to our marketing, sales, and customer support teams.
• ● Contribute to data profiling initiatives across core RevOps and go-to-market (GTM) systems to evaluate data quality, consistency, and completeness.
• ● Construct, deploy, and maintain scalable data workflows spanning Salesforce, Siebel CRM, Oracle ERP, SQL Server, and Azure Cloud data sources.
• ● Engineer, support, and enhance robust data pipelines and automated transformation processes using SQL and big data technologies (e.g., Python, Hadoop, Spark).
• ● Develop and implement database scripts, triggers, functions, and stored procedures.
• ● Develop automated testing and validation procedures to enhance data quality management and compliance with data governance policies.
• ● Participate with cross-functional teams across the organization to understand data needs within stakeholder contexts and how technical decisions impact analytics and reporting needs.
• ● Work collaboratively with technical teams, operations, product managers, and business stakeholders to ensure alignment and effective implementation of data initiatives.
• ● Identify and communicate data quality improvement process automation opportunities.
• ● Actively contribute and promote a culture of engineering excellence.
• ● Required Skills & Qualifications
• ● Extensive, hands-on experience working with Salesforce, Siebel CRM, and Oracle ERP.
• ● Familiarity with marketing and sales automation platforms such as Demandbase, SalesLoft, and HubSpot.
• ● Demonstrated proficiency in SQL and experience with large-scale data processing frameworks like Hadoop and Spark.
• ● Excellent communication skills, with the ability to present findings and insights to both technical and non-technical audiences in a clear and engaging manner.
• ● Ability to thrive in a fast-paced, dynamic environment, adjusting to changing priorities while maintaining high-quality standards.
• ● Proficiency with Salesforce data tools including Data Loader, Workbench, and Inspector.
• ● Track record of implementing data engineering best practices.
• ● Certifications: Cloud and data engineering certifications preferred (e.g., Microsoft Azure Data Engineer Associate, Azure Solutions Architect, or equivalent AWS/GCP credentials). Salesforce certifications related to data architecture or platform development (e.g., Data Architecture & Management Designer, Platform Developer I, or Salesforce Administrator) are a plus. Additional certifications in analytics, databases, or big data technologies (e.g., Power BI, SQL, Hadoop, Spark) are advantageous.