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2 results for Principal Data Architect in Houston, TX
- Houston, TX
- onsite
- Temporary / Contract
- 0 - 0 USD / Yearly
- We are looking for a Data Engineer to support the design, development, and optimization of modern data solutions in Houston, Texas. This Long-term Contract position is ideal for someone who enjoys building reliable pipelines, working with large-scale datasets, and improving the flow of information across systems. The role offers the opportunity to contribute technical expertise in a collaborative environment focused on performance, scalability, and data quality.<br><br>Responsibilities:<br>• Build and maintain scalable data pipelines that collect, transform, and deliver data for analytics and operational use.<br>• Develop ETL processes that improve the accuracy, consistency, and availability of data across multiple sources.<br>• Use Python and Apache Spark to process large datasets efficiently and support advanced data engineering workflows.<br>• Work with Hadoop-based environments to manage distributed data processing and storage activities.<br>• Integrate streaming and messaging solutions using Apache Kafka to support timely data movement and event-driven processing.<br>• Monitor pipeline performance, troubleshoot failures, and implement enhancements that strengthen reliability and efficiency.<br>• Partner with technical and business stakeholders to understand data needs and translate them into practical engineering solutions.
- 2026-05-08T00:00:00Z
- Houston, TX
- remote
- Temporary / Contract
- 39 - 44 USD / Hourly
- <p>Position Overview</p><p>We are seeking a delivery‑focused Data Automation Engineer to design and implement innovative automation solutions across a Microsoft Azure‑based data analytics platform. This role partners closely with engineering teams and stakeholders to translate business requirements into scalable data engineering and AI‑enabled solutions.</p><p>The ideal candidate is hands‑on with Azure Data Factory, Synapse Pipelines, Apache Spark, Python, and SQL, and brings experience building reliable ETL pipelines across SQL and NoSQL environments. This role emphasizes performance optimization, automation, and proactive data quality within Agile DevOps delivery models.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering & Automation</p><ul><li>Develop high‑performance data pipelines using Azure Data Factory, Synapse Pipelines, Spark Notebooks, Python, and SQL.</li><li>Design ETL workflows supporting advanced analytics, reporting, and AI/ML use cases.</li><li>Implement data migration, integrity, quality, metadata, and security controls across pipelines.</li><li>Monitor, troubleshoot, and optimize pipelines for availability, scalability, and performance.</li></ul><p>Performance Testing & Optimization</p><ul><li>Execute ETL performance testing and validate load performance against benchmarks.</li><li>Analyze pipeline runtime, throughput, latency, and resource utilization.</li><li>Support tuning activities (e.g., query optimization, partitioning, indexing).</li><li>Validate data completeness and consistency after high‑volume processing.</li></ul><p>Platform Collaboration & DevOps Support</p><ul><li>Collaborate with DevOps and infrastructure teams to optimize compute, memory, and scaling.</li><li>Maintain versioning and configuration control across environments.</li><li>Support production, testing, development, and integration environments.</li><li>Actively participate in Agile delivery processes including Program Increment planning.</li></ul>
- 2026-04-20T00:00:00Z