Data Architecture & Engineering Leader

Heritage Golf Group; Herndon (VA); Presencial; USD 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

401(k)

Dental insurance

Health insurance

Vision insurance

Descripción de la vacante

Heritage Golf Group is seeking a Data Engineer to support data, reporting, and business systems across its clubs. The role combines strategic leadership with hands-on data engineering to build scalable data architecture, pipelines, and governance that deliver reliable data for reporting and decision-making.

Responsibilities focus on data modeling, architecture planning, ETL/ELT development using DBT, Databricks, or similar platforms, and ensuring data security and accessibility for business

Formación

• 5+ years of experience in data engineering or a similar role.
• Ownership and leadership in data governance and architecture strategy.
• Experience building data warehouses/data lakes and pipelines from multiple sources.
• Experience working with 3rd parties to maintain data connections.

Responsabilidades

• Develop recommendations on optimized data models, data warehouse, and semantic layers; own long-term strategy.
• Lead data architecture planning, evaluations, and platform enhancements.
• Develop and maintain SQL queries, data models, and Fabric assets (Lakehouses, Warehouses, Dataflows, Semantic Models).
• Design automated data pipelines and integrations for enterprise reporting and analytics; support real-time and batch processing.
• Create APIs and data services to enable data access across applications and partners.

Conocimientos

Data engineering

SQL

Python

Power BI

Communication

Azure

Herramientas

Microsoft Fabric

DBT

Databricks

Snowflake

APIs

Descripción del empleo

Heritage Golf Group is seeking a Data Engineer to support data, reporting, and business systems across its clubs. The role combines strategic leadership with hands-on data engineering to build scalable data architecture, pipelines, and governance that deliver reliable data for reporting and decision-making.

Responsibilities focus on data modeling, architecture planning, ETL/ELT development using DBT, Databricks, or similar platforms, and ensuring data security and accessibility for business