TECHNICAL LEAD - Database Administration

Happiest Minds•Orlando, FL

About The Position

We are looking for an experienced Database Administrator and Data Engineer to manage enterprise databases and build reliable, scalable data pipelines and analytics solutions. The role requires hands-on expertise in SQL Server, Azure SQL, Azure Databricks, ETL/data pipelines, and Tableau. It balances traditional database administration responsibilities with modern Azure data engineering, supporting operational databases as well as analytics and data platforms. The role includes administering and optimizing databases, designing data pipelines and data architectures, supporting Tableau reporting, and maintaining database security and governance. It also involves troubleshooting issues, handling production support and operational processes, and maintaining technical documentation.

Requirements

6–10+ years of experience in database administration, data engineering, and analytics platforms.
Hands-on expertise in SQL Server, Azure SQL, Azure Databricks, ETL/data pipelines, and Tableau.
Strong database troubleshooting and SQL optimization skills.
Experience with data-pipeline development, data modeling, production support, problem management, and automation.
Strong stakeholder communication skills.
Knowledge of SQL Server, T-SQL, Azure SQL, Azure Databricks, Apache Spark, PySpark, Python, Azure Data Factory, ETL/ELT, Delta Lake, data lake/lakehouse architectures, Tableau, performance tuning, backup and recovery, and database security.

Nice To Haves

Microsoft Certified: Azure Database Administrator Associate.
Microsoft Certified: Azure Data Engineer Associate or equivalent Azure data certification.
Databricks Data Engineer certification.
Tableau certification.

Responsibilities

Administer and support SQL Server and Azure SQL databases, including installation, configuration, upgrades, backup, recovery, and security.
Monitor and optimize database availability, capacity, performance, indexing, queries, and storage.
Design and develop ETL/ELT pipelines for ingestion, transformation, and integration of structured and unstructured data.
Develop scalable data-processing solutions using Azure Databricks, Spark, SQL, and Python/PySpark.
Support data integration using Azure Data Factory or equivalent orchestration tools.
Design and maintain data models, data warehouses, lakehouse architectures, and Delta Lake solutions.
Build and support Tableau dashboards, data sources, extracts, and reporting solutions.
Implement database security, RBAC, auditing, encryption, data governance, and access controls.
Troubleshoot database, pipeline, data-quality, and report-performance issues.
Handle incidents, changes, root-cause analysis (RCA), capacity planning, automation, and production support.
Maintain technical documentation, SOPs, architecture diagrams, and operational runbooks.