Senior Database Developer; SQL & Databricks

Summary

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.

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.

• 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, , 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.

• 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 .
• Knowledge of data governance, row‑level security, column‑level security, data quality, and enterprise compliance requirements.
• 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.
• Strong written and verbal communication skills, with the ability to explain technical concepts to both technical and non‑technical audiences.