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2 results for Sap Technical Consultant in Atlanta, GA
- Duluth, GA
- onsite
- Temporary
- 75 - 85 USD / Hourly
- <p><strong>Overview</strong></p><p>Our client is seeking a Salesforce Architect to lead the design and delivery of scalable Salesforce solutions across the enterprise. This role will own end-to-end architecture, provide technical leadership, and ensure the Salesforce platform is secure, performant, and aligned with business needs.</p><p><strong>Key Responsibilities:</strong></p><p><strong>Architecture & Solution Design</strong></p><ul><li>Design and own end-to-end Salesforce architecture across Sales Cloud, Service Cloud, Experience Cloud, and custom applications</li><li>Translate business requirements into scalable, secure, high-performing technical solutions</li><li>Define and enforce Salesforce architectural standards, governance, and integration patterns</li><li>Own data modeling, data sharing, security model strategies, and API design</li></ul><p><strong>Custom Development & Engineering</strong></p><ul><li>Develop high-quality Salesforce code using Apex, Lightning Web Components (LWC), Visualforce, SOQL, and Salesforce APIs</li><li>Build and maintain integrations using REST/SOAP APIs, middleware, and external systems</li><li>Implement custom user interfaces using LWC and modern UI frameworks</li><li>Perform code reviews and enforce CI/CD and DevOps best practices</li></ul><p><strong>Platform Leadership</strong></p><ul><li>Provide technical leadership and guidance to Salesforce developers, administrators, and cross-functional teams</li><li>Advise on Salesforce roadmap, scalability, and platform capabilities</li><li>Troubleshoot complex technical issues and optimize system performance</li><li>Evaluate Salesforce releases and ensure proper testing, adoption, and rollout</li></ul><p><br></p>
- 2026-04-13T00:00:00Z
- Atlanta, GA
- onsite
- Temporary
- 60 - 67 USD / Hourly
- <p><strong>Position Summary:</strong></p><ul><li>We are looking for a Data Operations Engineer to support and oversee the automated data‑pipeline environment built on AWS. This position bridges data engineering and customer operations, ensuring that incoming datasets are processed accurately, consistently, and securely within established ingestion and transformation frameworks.</li><li>Key responsibilities include monitoring automated workflows, troubleshooting processing failures, validating data quality, and helping onboard new customers by aligning their data formats to a standardized internal model.</li><li>The role requires strong proficiency in SQL and Python, practical experience with AWS services, and the ability to communicate effectively with external customers when data issues arise.</li></ul><p><strong>Responsibilities:</strong></p><p><strong>Data Pipeline Monitoring & Operations:</strong></p><ul><li>Monitor automated batch and streaming data pipelines in AWS</li><li>Identify, troubleshoot, and resolve data processing failures</li><li>Investigate file‑level errors, schema mismatches, and transformation issues</li><li>Perform root‑cause analysis and document resolutions</li><li>Ensure data integrity, completeness, and timeliness across environments</li><li>Escalate architectural or systemic issues to the Data Engineering team</li></ul><p><strong>Customer Data Onboarding & Implementation:</strong></p><ul><li>Collaborate directly with customers to understand their file formats and data structures</li><li>Create and maintain mapping templates to align customer data to a normalized data model</li><li>Validate sample files and run tests on ingestion workflows</li><li>Configure ingestion parameters within predefined frameworks</li><li>Support customer go‑live processes and initial data processing cycles</li></ul><p><strong>Data Quality & Continuous Improvement:</strong></p><ul><li>Write SQL queries to validate data accuracy and research anomalies</li><li>Develop lightweight Python scripts for validation, transformation checks, or automation tasks</li><li>Improve monitoring processes, internal documentation, and operational playbooks</li><li>Work with engineering teams to strengthen platform reliability and observability</li></ul><p><strong>Customer & Cross‑Functional Collaboration:</strong></p><ul><li>Communicate clearly with customers regarding file issues or data discrepancies</li><li>Partner with internal teams including Data Engineering, Product, and Support</li><li>Provide feedback to enhance scalability, resilience, and overall platform performance</li></ul>
- 2026-03-27T00:00:00Z