Data Platform Engineer
About The Position
We are seeking a Data Platform Engineer to manage, optimize, and modernize the enterprise data ecosystem. The role administers and supports Microsoft SQL Server environments, business intelligence platforms, cloud-based data integration services, and enterprise reporting solutions. The engineer helps ensure data availability, reliability, performance, and scalability, while enabling data-driven decisions through modern reporting and visualization tools. The position includes SQL Server and Azure SQL Managed Instance administration, performance tuning, database security and recovery, ETL development with SSIS and Azure Data Factory, analytics modeling with SSAS, reporting with SSRS, and support for Tableau Cloud and Power BI. The engineer also contributes to Azure data platform modernization, cloud migrations, governance, documentation, project planning, troubleshooting, and continuous improvement, working with business users, analysts, developers, and IT teams. Schedule: Monday–Friday, 8:30 a.m.–5:00 p.m. Starting annual base salary is $100,000, depending on experience.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent experience.
- At least 5 years of experience working with Microsoft SQL Server in production environments.
- Strong experience with SQL Server administration.
- Strong experience with SQL Server Integration Services (SSIS).
- Strong experience with SQL Server Analysis Services (SSAS).
- Strong experience with SQL Server Reporting Services (SSRS).
- Strong experience with Azure Data Factory (ADF).
- Experience administering Tableau Cloud, including managing extracts.
- Experience with row-level security (RLS) across Tableau and SQL Server.
- Advanced SQL development and performance tuning skills.
- Experience designing and supporting ETL/ELT processes and data warehousing solutions.
- Experience building Tableau and SQL measures, such as prior-year and point-in-time metrics.
- Strong analytical, troubleshooting, and problem-solving abilities.
Nice To Haves
- Experience with Azure SQL Database, Managed Instance, or other Azure data services.
- Experience with data warehousing, dimensional modeling, and semantic layer design.
- Experience supporting enterprise reporting and self-service analytics platforms.
- Familiarity with Tableau administration and governance best practices.
Responsibilities
- Manage and support Microsoft SQL Server and SQL Azure Managed Instance environments, including installation, configuration, upgrades, maintenance, and migrations.
- Monitor database performance and optimize queries, indexes, and server resources.
- Implement and manage backup, recovery, disaster recovery, and high-availability solutions.
- Ensure database security, compliance, and data integrity.
- Design, develop, and maintain enterprise ETL processes using SQL Server Integration Services (SSIS).
- Build and support cloud-based data pipelines using Azure Data Factory (ADF).
- Develop and maintain data ingestion, transformation, and loading processes from multiple source systems.
- Troubleshoot and resolve data quality and integration issues.
- Design, develop, and maintain SQL Server Analysis Services (SSAS) Tabular and Multidimensional models.
- Create and manage enterprise semantic layers, dimensions, measures, and KPIs.
- Create and optimize stored procedures.
- Partner with business stakeholders to understand reporting and analytical requirements.
- Develop, maintain, and support SQL Server Reporting Services (SSRS) reports and reporting environments.
- Support Tableau Cloud environments, including data sources, extracts, dashboards, reporting, permissions, and performance optimization.
- Ensure consistency and accuracy of metrics across enterprise reporting platforms.
- Administer Power BI and create reports.
- Support modernization initiatives involving Azure-based data services and analytics solutions.
- Assist with migrating legacy BI and ETL processes to cloud-native architectures.
- Implement best practices for performance, scalability, monitoring, and governance.
- Work with business users, analysts, developers, and IT teams to deliver data solutions.
- Document data architectures, processes, standards, and operational procedures.
- Participate in project planning, troubleshooting, and continuous improvement initiatives.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
