Senior Integration Engineer

The Azure Integration Engineer is responsible for designing, developing, and maintaining Reddy Ice’s enterprise integration solutions across Azure services, ensuring secure, scalable, and high-quality data movement between ERP, CRM, operational systems, third-party providers, and our enterprise data platforms. This role develops cloud-first integrations using Azure Data Factory, Azure Functions, Azure Logic Apps, Azure Storage, Azure Databricks, and related platform components.

The role ensures always-on, predictable, and transparent data flows supporting business operations, analytics, D365 transformation programs, and the broader AI-Reddy roadmap. This position collaborates closely with business stakeholders, developers, enterprise architects, and data engineering teams to deliver resilient, automated, and well-governed integrations.
Since you need to work in the office 4 days a week you must live in the Dallas area.

The Azure Integration Engineer embodies Reddy Ice’s “True North” attributes: voice of the customer, respect for the individual, no-nonsense communication, fact-based decision-making, servant leadership, and continuous improvement. The role leads and participates in Lean activities (A3, VSM, Kaizen) to drive end-to-end operational excellence.

• Design, build, and maintain integration pipelines using Azure Data Factory (ADF), Azure Databricks, Azure Functions, Azure Logic Apps, and Azure Event-based solutions (Event Hub, Service Bus).
• Build scalable ingestion and transformation flows across cloud and on-prem systems, ensuring high performance and secure movement of structured and unstructured data.
• Implement end-to-end ETL/ELT pipelines supporting D365 F&O, D365 CE, Boomi MDH, CRM, route systems, logistics systems, and financial platforms.
• Develop reusable integration frameworks, parameterized pipelines, error handling, logging, retry processes, and automated monitoring dashboards.

• Partner with enterprise architects to evolve Azure-based data and integration platforms, supporting cloud modernization and the Reddy Ice AI and analytics strategy.
• Contribute to Lakehouse data models using Databricks Delta Lake and Azure Synapse Analytics.
• Collaborate on cloud integration strategies, including migration of legacy ETL (SSIS, Informatica, SAS) into Azure-native solutions.

• Implement data validation, data quality rules, schema evolution, and automated error-detection routines.
• Support Azure Purview/MDM alignment by ensuring integrations meet governance, lineage, and metadata requirements.
• Perform root cause analysis, troubleshoot integration failures, and partner with business units to drive issues toward zero operational impact.

• Work with Field Operations, Finance, Supply Chain, Customer Service, DSD, Accounting, and Sales Operations to deliver reliable integrations across business-critical systems.
• Translate business requirements into technical integration specifications and documentation.
• Provide technical leadership in Agile sprint ceremonies, architecture reviews, and production release cycles.
• Lead and participate in Lean activities (A3s, Kaizen, VSM) to optimize integration processes, reduce cycle time, automate manual touchpoints, and improve stability.
• Identify opportunities to increase the adoption of automation, telemetry, and observability across integration workflows.

• Maintain highest adherence to data security, audit requirements, confidentiality, and compliance standards.
• Perform additional duties as assigned by management.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience.
• 5+ years of experience in data integration, ETL/ELT development, cloud engineering, or data engineering in enterprise environments.
• 3+ years hands-on experience with Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Azure Synapse, Azure Functions, and Azure Dev Ops.
• Strong experience with SQL (T-SQL), Python/PySpark, data modeling, pipeline orchestration, and cloud-native ETL patterns.
• Experience…