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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Platform Engineer - **Company:** SOFTWARE CONSULTANTS INC. - **Location:** Dallas, TX, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Microsoft Azure, Big Data, Cloud Computing, Databases, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Dataspaces, Data Systems, Data Visualization, DevOps, Distributed Computing Environment, Distributed Systems, Fault Tolerance, Machine Learning, Performance Tuning, Query Optimization, Power BI, Software Tools, Service Design, Data Streaming, Systems Architecture, Data Storage Technologies, Cloud Platform System, Azure Data Factory, Sql Optimization, System Availability, Apache Spark, Indexer, Data Lakes, Data Analytics, Performance Monitor, Data Management, Machine Learning Operations, Azure Service Fabric, Data Pipelines, Databricks, Microservices - **Published:** August 19, 2026 - **Apply:** https://www.dice.com/job-detail/b817e0ac-1cd4-4878-bb87-71f228ab2fc4 ## About the Role Database Mastery * Advanced SQL, query optimization, partitioning, and transaction handling. Performance Tuning * Proven ability to diagnose and resolve complex performance bottlenecks. Azure Expertise * Hands-on experience with Azure Service Fabric, Azure Data Factory, Azure Databricks, and Azure Storage. Big Data & Analytics * Strong knowledge of Spark, Delta Lake, and distributed data processing. Data Visualization * Familiarity with Power BI and data modeling best practices. Troubleshooting & Optimization * Ability to resolve issues across multi-tiered systems under pressure. Cross-Functional Collaboration * Excellent communication and stakeholder management skills., * Experience with CI/CD pipelines for data solutions. * Familiarity with data governance, security, and compliance frameworks. * Exposure to machine learning workflows and real-time streaming architectures. ## Description We are looking for a Senior Data Platform Engineer with deep expertise in designing, optimizing, and managing enterprise-grade data ecosystems. This role requires mastery of database architecture, performance tuning, and transaction management, combined with hands-on experience in cloud-native platforms, big data frameworks, and advanced analytics pipelines. The ideal candidate will be comfortable working across distributed systems, modern data engineering tools, and collaborating with architects, DevOps, and business teams to deliver scalable, secure, and high-performing solutions., Database & System Architecture * Design and implement robust, scalable, and secure database architectures for transactional and analytical workloads. * Define partitioning strategies, indexing, and normalization for optimal performance and maintainability. Performance Tuning & Optimization * Conduct advanced query optimization and execution plan analysis. * Implement proactive monitoring and troubleshooting for high-volume, mission-critical systems. Cloud & Distributed Systems Azure Service Fabric: * Deploy and manage microservices-based applications on Azure Service Fabric clusters. * Ensure high availability, fault tolerance, and scalability of distributed services. * Optimize communication patterns and stateful/stateless service design for data-intensive workloads. Modern Data Engineering & Analytics Azure Data Factory (ADF): * Design and orchestrate complex ETL/ELT pipelines for batch and streaming data. * Integrate diverse data sources into centralized data platforms. Azure Databricks & Spark: * Build and optimize big data processing workflows using Apache Spark on Databricks. * Implement Delta Lake for ACID transactions on large-scale data lakes. * Develop scalable solutions for machine learning and advanced analytics. Delta Tables: * Manage versioned data storage for reliability and reproducibility. * Optimize schema evolution and data compaction strategies. Power BI (PBI): * Collaborate with BI teams to design semantic models and optimize data for reporting. * Ensure data pipelines deliver clean, consistent, and performant datasets for visualization. Collaboration & Leadership * Work closely with architects, DevOps, and business stakeholders to align technical solutions with strategic objectives. * Provide mentorship and technical guidance to junior engineers and developers. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)