Director - Data Engineering

Essential Duties and Responsibilities:

- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.

- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.

- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.

- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.

- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.

- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.

- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.

- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.

May also lead through influence of other teams/departments.

Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.

- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.

Minimum Requirements

- Bachelor's degree in relevant field of study.

- 10+ years of relevant professional experience required.

Job-Specific Minimum Requirements:

- 10+ years experience within Data Engineering.

- 5+ years of direct management experience.

- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.

- ETL processes involving SQL databases.

- Experience working with data in a variety of formats including XML and JSON.

- Basic scripting skills using Python or other similar languages to transform data.

- Advanced skills in Excel.

- Experience working in an operational environment where system uptime is critical.

- Experience with reporting and visualization tools (Qlik, PowerBI, and others).

Preferred Skills and Responsibilities:

- Experience with Snowflake.

- Experience generating highly relevant synthetic data.

- Salesforce and Mulesoft experience.

- AI and data science skills.

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