Database Administrator

• Design and maintain data infrastructure that enables secure access to curated data sets for approved users
• Identify and integrate internal and external data sources by collaborating with business and technical subject matter experts to understand data structures, usage needs, and reporting requirements
• Administer and support SQL Server environments, including database maintenance, performance tuning, upgrades, and issue resolution
• Contribute to the design, maintenance, and evolution of conceptual and logical enterprise data models supporting data warehouse, data mart, and OLAP solutions
• Develop and maintain database solutions to support data storage, retrieval, and analytics use cases
• Own and support the full data pipeline, from ingesting raw data through transformation and integration into data warehouses, operational data stores, and reporting platforms
• Lead or support data migrations from legacy platforms to modern data solutions
• Design, build, test, deploy, and maintain ETL/ELT pipelines across development and production environments, including requirements gathering, data analysis, validation, and release management
• Translate business needs into technical data and system requirements, ensuring alignment between business processes and analytics solutions
• Partner with stakeholders to determine which data elements deliver the greatest business value and ensure those metrics are accurately represented in dashboards and reports
• Design and maintain presentation-layer objects that enable intuitive reporting and support self-service analytics through enterprise BI tools or connectors
• Perform ongoing database administration, including patching, upgrades, monitoring, and performance optimization
• Analyze business requirements independently or in collaboration with business systems or BI analysts and produce detailed technical specifications
• Act as a data subject matter expert, promoting data-driven decision-making and integrating analytics into existing or evolving business processes

• Bachelor's degree in computer science, Information Systems, Mathematics, Data Analytics, or a related field required
• Minimum of 5 years of experience working with enterprise data sources and developing production-level reporting and analytics solutions
• Deep understanding of data warehousing concepts, software development life cycle (SDLC), and data quality assurance practices
• Hands-on expertise with SQL Server (including recent versions), Azure-based SQL platforms, SSIS and/or Azure Data Factory
• Experience developing reports and dashboards using Power BI, SSRS, or similar BI tools
• Advanced SQL skills, including writing and optimizing complex queries, stored procedures, functions, and views
• Experience designing database schemas, indexing strategies, and performance tuning solutions
• Proven ability to design and implement ETL/ELT processes extracting data from multiple structured and semi-structured sources
• Experience building and supporting batch and, where applicable, near–real-time data pipelines
• Extensive data transformation, cleansing, and validation skills
• Ability to maintain, optimize, and scale enterprise data warehouse solutions
• Experience scheduling and automating data workflows
• Familiarity with cloud-based data integration tools, including Azure Data Factory, is a plus
• Excellent analytical, critical thinking, and problem-solving skills
• Ability to work independently, manage competing priorities, and operate effectively in a fast-paced environment
• Ability to analyze complex data sets, interpret quantitative and financial information, and communicate findings clearly to diverse audiences
• Proficiency with Microsoft Office tools, including Excel, Word, PowerPoint, Visio, and SharePoint

Familiarity with cloud-based data integration tools, including Azure Data Factory, is a plus

• Healthcare (medical, dental, and vision plans)
• 401(k) and retirement plans
• Commuter benefits
• Employee and vendor discounts
• Employee Assistance Program (EAP)
• And many more!