Senior Database Developer (SQL & Databricks)

Our Company•Seffner, FL

About The Position

We are seeking a hands-on Senior Database Developer to design, develop, and optimize data solutions across Microsoft SQL Server and the Databricks Lakehouse Platform. This role will own the stored procedures, database objects, and data-movement processes that support our enterprise applications. You will partner closely with backend .NET developers to deliver reliable, high-performing data-access solutions and help establish Databricks as an enterprise platform for governed data, analytics, and AI/BI. The ideal candidate combines deep SQL Server development expertise with practical experience building data-platform solutions. This is a hands-on builder role: you will write production code, solve complex performance and data-integration challenges, and establish reusable standards and patterns for other engineering teams to follow.

Requirements

At least one year of hands-on professional experience developing or supporting Databricks solutions in a production or enterprise environment.
Six or more years of professional experience developing on Microsoft SQL Server, with strong T-SQL and stored-procedure experience.
Experience with Databricks Lakehouse technologies, including Unity Catalog, Delta Lake, Databricks SQL, notebooks, and workflows.
Proven experience developing SQL for data movement, ETL/ELT, system integrations, and application data retrieval.
Strong database performance-tuning skills, including execution plans, indexing, statistics, blocking, deadlocks, and concurrency troubleshooting.
Working knowledge of PostgreSQL and familiarity with Databricks Lakebase.
Experience collaborating with application developers, preferably in a .NET or C# environment.
Experience using Git and CI/CD pipelines for database and data-platform code.
Familiarity with Azure services such as Azure Data Lake Storage, Azure SQL, Key Vault, and Microsoft Entra ID.
Knowledge of data governance, row-level security, column-level security, data quality, and enterprise compliance requirements.
Strong written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.

Nice To Haves

Experience with AI/BI Genie or similar natural-language analytics tools is preferred.
Experience using AI-assisted development tools, such as Claude Code, Codex, or similar solutions, is a plus.

Responsibilities

Develop and support solutions using Databricks, including Unity Catalog, Delta Lake, Databricks SQL, notebooks, and workflows.
Help establish catalogs, schemas, tables, volumes, permissions, lineage, and data-quality standards within Unity Catalog.
Support data movement, ETL/ELT, batch processing, and incremental synchronization using Databricks.
Develop reusable connection patterns, templates, and standards to support Databricks adoption across enterprise applications.
Work with Databricks Lakebase and PostgreSQL to support transactional and operational use cases.
Build and maintain AI/BI Genie spaces using curated enterprise data, including semantic models, instructions, and sample queries.
Troubleshoot Databricks jobs, workflows, data pipelines, and performance issues.
Design, develop, test, and maintain stored procedures, functions, views, triggers, and other database objects in Microsoft SQL Server.
Write and maintain complex T-SQL for data movement, system integrations, batch loads, incremental syncs, and application data retrieval.
Tune queries and indexes, analyze execution plans, and resolve blocking, deadlocks, and long-running jobs.
Manage database schemas, deployment scripts, and versioning of database objects through source control and CI/CD pipelines.
Ensure database code meets standards for data integrity, security, performance, and auditability.
Partner with backend .NET developers to translate application requirements into effective stored procedures and data-access patterns.
Review queries and data-access code using Entity Framework, Dapper, ADO.NET, and related technologies.
Participate in sprint planning, technical design reviews, code reviews, and other Agile engineering activities.
Collaborate with business stakeholders to identify data needs and deliver practical, maintainable solutions.