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# Senior Data Engineer - 3688089

- **Company:** LIGHTHOUSE
- **Location:** Orlando, FL, United States (Remote available)
- **Experience:** Expert
- **Salary:** $160,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Application Programming Interfaces (APIs), Application Integration Architecture, Microsoft Azure, BigQuery, C Sharp (Programming Language), Cloud Computing, Cloud Engineering, Information Systems, Databases, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Design, Meta-Data Management, NoSQL, Performance Tuning, Standard Sql, Data Streaming, Azure Service Bus, Snowflake, Database Performance, Event Driven Architecture, Information Technology, Data Lineage, Integration Frameworks, Apache Kafka, Data Management, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** October 18, 2026
- **Apply:** https://www.dice.com/job-detail/0f012671-983c-4a25-b93f-3d9eeddfe95e

## About the Role

* 7+ years of experience in data engineering, application integration, or database design with proven development background
 * Strong expertise in C#/.NET development and cloud-native architecture (Azure strongly preferred)
 * Deep knowledge of SQL and NoSQL database technologies with demonstrated performance optimization capabilities
 * Proven experience designing application integration solutions including ETL, API patterns, streaming, and event-driven architectures
 * Solid understanding of data warehouse and lakehouse architectures such as Fabric, Databricks, Snowflake, Synapse, or BigQuery
 * Experience with data governance frameworks, metadata management, and data quality best practices
 * Familiarity with real-time streaming technologies such as Kafka or Event Hubs
 * Strong analytical mindset with the ability to communicate effectively across global, cross-functional teams
 * Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field

## Description

* Design and develop enterprise-wide data architecture solutions that align with business objectives and technology strategies
 * Establish and enforce data governance frameworks, standards, and best practices across the organization
 * Architect and implement scalable data pipelines, warehouses, lakehouses, and integration frameworks using modern cloud technologies
 * Evaluate and recommend cutting-edge data technologies, cloud platforms, and tools to enhance organizational capabilities
 * Partner with application, cloud, and infrastructure teams to ensure cohesive and integrated system design
 * Collaborate with governance and security teams to define metadata practices, data lineage tracking, and master data management
 * Implement robust data quality measures to ensure accuracy, consistency, availability, and privacy across all data assets
 * Translate business requirements into technical designs by working closely with business leaders, analysts, and engineering teams
 * Provide solution design oversight and technical leadership throughout development, testing, and deployment phases
 * Optimize database performance, scalability, and cost efficiency across cloud and on-premises environments