Data Integration Architect – Enterprise Data Platforms NEW!
Data Integration Architect – Enterprise Data PlatformsAustin,TXDatePosted : 4/22/2026 8:44:04 AMJobNumber : DTS1017187698JobType : ContractSkills: Data Engineering | ETL/ELT | SSIS | Snowflake | SQL | Data Pipelines | API Integration | Kafka | Python | Power BI | Data Quality | Cloud Data PlatformsJob DescriptionWe are seeking a highly skilled Senior Data Engineer with strong expertise in data integration, ETL/ELT, and cloud data platforms. The ideal candidate will design and build scalable data pipelines, develop integration strategies, and ensure high-quality, reliable data movement across enterprise systems.Key ResponsibilitiesDefine and implement data integration strategy, architecture, and roadmap (batch vs real-time, API vs ETL)Design, develop, and maintain scalable data pipelines for internal and external data sourcesBuild and manage ETL/ELT processes using tools such as SSIS and modern data platformsDevelop API-based integrations and data transformation workflowsEnsure data quality through validation, cleansing, and reconciliation processesOptimize data workflows for performance, scalability, and reliabilityImplement monitoring, logging, error handling, and alerting mechanisms for data pipelinesMaintain documentation for data flows, mappings, and transformation logicEnsure compliance with data governance, security, and regulatory standards (PII, etc.)Collaborate with business and technical stakeholders to understand data requirements and deliver solutionsRequired Qualifications7+ years of experience in Data Engineering and Data IntegrationStrong expertise in Data Warehousing concepts and architectureHands-on experience with ETL/ELT tools (SSIS preferred)Strong proficiency in SQL Server or other RDBMSExperience building and maintaining data pipelinesExperience implementing data quality frameworks (QA/QC)Hands-on experience with cloud data platforms (e.g., Snowflake)Experience with BI tools (e.g., Power BI)Experience with API integrations (e.g., MuleSoft)Strong communication and stakeholder management skillsPreferred QualificationsExperience with real-time data pipelines (Kafka, Python)Knowledge of Data Lakehouse architectureExperience handling sensitive data (PII, HIPAA compliance)Exposure to Salesforce integrationsFamiliarity with AWS (Lambda), Kubernetes, or containerization toolsExperience with Microsoft 365 and MS Access