ALine Inc
We are seeking a skilled Data Platform Engineer to join our team and drive the evolution of our data infrastructure, which includes on-premises SQL Server environments, Azure SQL environments, and a modern, cloud-native Microsoft Fabric ecosystem. This role combines database expertise with modern data engineering practices, focusing on building scalable, real-time data pipelines and maintaining high-performance data platforms.
You will be instrumental in our data transformation journey, leveraging change data capture technologies, event-driven architectures, and Microsoft's latest data platform offerings to create robust, near-real-time data solutions that power our analytics and business intelligence initiatives.
Responsibilities
Data Platform Architecture & Management
Design, implement, and maintain scalable data infrastructure across on-premises SQL Server and Azure SQL environments Support migration and modernization efforts in collaboration with team members across engineering Contribute to the development of lakehouse solutions using Microsoft Fabric for enterprise-scale data processing Follow established data governance, security, and compliance frameworks across hybrid environments Real-Time Data Integration
Build and maintain near-real-time data pipelines using SQL Server Change Data Capture (CDC) and Change Stream features Assist with the integration of CDC technologies such as Debezium with SQL Server for streaming change data capture into Microsoft Fabric and Event Hubs Support event-driven data architectures and integration efforts that support real-time analytics and operational intelligence Optimize data flow patterns for minimal latency and maximum throughput Database Engineering & Optimization
Develop high-performance SQL and T-SQL solutions for complex data transformations and business logic Design and implement stored procedures, functions, and database objects following best practices Conduct performance tuning and optimization across SQL Server instances and Azure SQL databases Monitor system performance and proactively identify opportunities for improvement Cloud Data Engineering
Build and orchestrate ETL/ELT processes using Azure Data Factory and other Azure integration services Develop serverless data processing solutions using Azure Functions and Logic Apps Support CI/CD practices in collaboration with platform or DevOps teams Manage Azure Data Lake storage and optimize data organization for analytics workloads Collaboration & Documentation
Partner with engineering, analytics, and product teams to understand data requirements and deliver solutions Create comprehensive technical documentation for data architectures, processes, and procedures Collaborate with team members to share best practices Participate in technical reviews and collaborate on implementation decisions Qualifications
Technical Expertise
4+ years of hands-on experience with Microsoft SQL Server, including database design, development, optimization, and administration Proficiency in SQL Azure environments (Azure SQL Database and Azure SQL Managed Instance), with experience in provisioning, migration, performance tuning, and security implementation Practical experience with Microsoft Fabric (formerly Azure Synapse), particularly in data pipeline development, Lakehouse architecture, and real-time integration scenarios Deep understanding of SQL Server Change Data Capture (CDC) and Change Stream technologies Experience integrating or supporting the use of Debezium with SQL Server for real-time change data capture and streaming to modern data platforms Experience contributing to real-tie or near-real-time data pipelines in production environments Development & Automation Skills
Advanced SQL and T-SQL development capabilities for complex data transformations and performance optimization Hands-on experience with ETL/ELT processes using Azure Data Factory or similar enterprise integration tools Proficiency with scripting languages (PowerShell, Python, or Bash) for automation and pipeline orchestration Experience with version control systems and collaborative development practices Cloud & DevOps Proficiency
Hands-on experience with Azure cloud data infrastructure including Azure Data Lake, Azure Functions, Logic Apps, and Event Hubs Working knowledge of CI/CD practices for database and data pipeline deployments using Azure DevOps, GitHub Actions, or similar platforms Strong understanding of data governance, access control, security frameworks, and compliance requirements in cloud environments Experience with infrastructure as code and automated deployment practices Professional Skills
Proven ability to work independently while collaborating effectively with cross-functional teams including engineering, analytics, and product organizations Strong analytical and troubleshooting skills with demonstrated ability to diagnose and resolve complex performance issues Excellent written and verbal communication skills for technical documentation and stakeholder engagement Preferred Qualifications
Experience with additional Azure services such as Azure Synapse Analytics, Azure Stream Analytics, or Power BI Knowledge of data modeling techniques and dimensional modeling principles Familiarity with containerization technologies (Docker, Kubernetes) and microservices architectures Background in agile development methodologies and DevOps practices Relevant Microsoft certifications (Azure Data Engineer, SQL Server, or Fabric certifications) What We Offer
Opportunity to contribute to data platform transformation initiatives Collaborative environment with cross-functional teams and modern technology stack Professional development opportunities and support for continuous learning Competitive compensation and a comprehensive benefits package
You will be instrumental in our data transformation journey, leveraging change data capture technologies, event-driven architectures, and Microsoft's latest data platform offerings to create robust, near-real-time data solutions that power our analytics and business intelligence initiatives.
Responsibilities
Data Platform Architecture & Management
Design, implement, and maintain scalable data infrastructure across on-premises SQL Server and Azure SQL environments Support migration and modernization efforts in collaboration with team members across engineering Contribute to the development of lakehouse solutions using Microsoft Fabric for enterprise-scale data processing Follow established data governance, security, and compliance frameworks across hybrid environments Real-Time Data Integration
Build and maintain near-real-time data pipelines using SQL Server Change Data Capture (CDC) and Change Stream features Assist with the integration of CDC technologies such as Debezium with SQL Server for streaming change data capture into Microsoft Fabric and Event Hubs Support event-driven data architectures and integration efforts that support real-time analytics and operational intelligence Optimize data flow patterns for minimal latency and maximum throughput Database Engineering & Optimization
Develop high-performance SQL and T-SQL solutions for complex data transformations and business logic Design and implement stored procedures, functions, and database objects following best practices Conduct performance tuning and optimization across SQL Server instances and Azure SQL databases Monitor system performance and proactively identify opportunities for improvement Cloud Data Engineering
Build and orchestrate ETL/ELT processes using Azure Data Factory and other Azure integration services Develop serverless data processing solutions using Azure Functions and Logic Apps Support CI/CD practices in collaboration with platform or DevOps teams Manage Azure Data Lake storage and optimize data organization for analytics workloads Collaboration & Documentation
Partner with engineering, analytics, and product teams to understand data requirements and deliver solutions Create comprehensive technical documentation for data architectures, processes, and procedures Collaborate with team members to share best practices Participate in technical reviews and collaborate on implementation decisions Qualifications
Technical Expertise
4+ years of hands-on experience with Microsoft SQL Server, including database design, development, optimization, and administration Proficiency in SQL Azure environments (Azure SQL Database and Azure SQL Managed Instance), with experience in provisioning, migration, performance tuning, and security implementation Practical experience with Microsoft Fabric (formerly Azure Synapse), particularly in data pipeline development, Lakehouse architecture, and real-time integration scenarios Deep understanding of SQL Server Change Data Capture (CDC) and Change Stream technologies Experience integrating or supporting the use of Debezium with SQL Server for real-time change data capture and streaming to modern data platforms Experience contributing to real-tie or near-real-time data pipelines in production environments Development & Automation Skills
Advanced SQL and T-SQL development capabilities for complex data transformations and performance optimization Hands-on experience with ETL/ELT processes using Azure Data Factory or similar enterprise integration tools Proficiency with scripting languages (PowerShell, Python, or Bash) for automation and pipeline orchestration Experience with version control systems and collaborative development practices Cloud & DevOps Proficiency
Hands-on experience with Azure cloud data infrastructure including Azure Data Lake, Azure Functions, Logic Apps, and Event Hubs Working knowledge of CI/CD practices for database and data pipeline deployments using Azure DevOps, GitHub Actions, or similar platforms Strong understanding of data governance, access control, security frameworks, and compliance requirements in cloud environments Experience with infrastructure as code and automated deployment practices Professional Skills
Proven ability to work independently while collaborating effectively with cross-functional teams including engineering, analytics, and product organizations Strong analytical and troubleshooting skills with demonstrated ability to diagnose and resolve complex performance issues Excellent written and verbal communication skills for technical documentation and stakeholder engagement Preferred Qualifications
Experience with additional Azure services such as Azure Synapse Analytics, Azure Stream Analytics, or Power BI Knowledge of data modeling techniques and dimensional modeling principles Familiarity with containerization technologies (Docker, Kubernetes) and microservices architectures Background in agile development methodologies and DevOps practices Relevant Microsoft certifications (Azure Data Engineer, SQL Server, or Fabric certifications) What We Offer
Opportunity to contribute to data platform transformation initiatives Collaborative environment with cross-functional teams and modern technology stack Professional development opportunities and support for continuous learning Competitive compensation and a comprehensive benefits package