Senior Database Engineer

MarketOnce•Jacksonville, FL

2d•$150,000 - $180,000•Onsite

About The Position

As a Senior Database Engineer, you’ll join a close-knit team building the future of a platform designed to power immersive digital experiences for our customers and partners. In this role, you will leverage deep technical expertise to design, optimize, and maintain data solutions that ensure high performance, scalability, and reliability. You’ll work across traditional and modern data architectures—ranging from relational databases to data lakes and pipelines—to enable advanced analytics and reporting capabilities.

Requirements

7+ years of experience as a Data Architect and/or Database Engineer.
Proven experience analyzing and tuning production database systems for performance and reliability.
Strong T-SQL scripting skills.
Hands-on experience with data lake technologies and data pipeline frameworks (e.g., Azure Data Lake, Azure Data Factory, Databricks).
Data warehouse and visualization experience, including demonstrated strong Logical, Physical, and Dimensional Modeling skills.
Strong understanding of reporting and BI solution design, including Power BI or similar tools.
Experience in design of technology roadmaps and the transition from the current architectural framework to target architecture of the future.
Excellent verbal and written communication skills to document and present data models, strategies, standards, and concepts to both business and IT audiences.
Experience with the following tech & tools: Databases: MS SQL Server, Azure SQL Server, Databricks, Cosmos DB, MongoDB, Elastic Azure Technologies: Cosmos DB, SQL Database, Analytics, HD Insight, SQL Warehouse, Machine Learning, Data Factory, Analysis Services, Azure Functions, Key Store, Fabric, Power BI, Azure Data Lake ETL Tools: SQL Server Integration Services, Azure Data Factory, Azure Databricks, Azure Stream Analytics, Talend or similar

Responsibilities

Analyze and optimize production data solutions to identify and resolve issues related to performance, locking, and scalability.
Design and develop data lake architectures to support advanced analytics and large-scale data ingestion.
Build and maintain production-grade data pipelines for efficient data movement and transformation across systems.
Design and implement reporting solutions that deliver actionable insights to business stakeholders.
Communicate database and data architecture designs to business and technical audiences, including business users, program sponsors, database administrators, ETL and BI developers.
Evaluate potential technology/tool solutions that meet business needs, and facilitate internal and external discussions towards desirable outcomes.
Collaborate with solution architects and project resources on systems integration and compatibility, while acting as a leader for coaching, training, and providing guidance.
Create functional and technical documentation related to data architecture and business intelligence solutions.
Provide technical consulting to application development teams during application design and development for highly complex or critical projects.
Design data governance procedures to ensure compliance with internal and external regulations.