Data Engineering & Architecture Manager

Heritage Golf Group; Herndon (VA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

401(k)

Dental insurance

Health insurance

Vision insurance

Job summary

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

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data engineering

SQL

Python

Power BI

Communication

Azure

Tools

Microsoft Fabric

DBT

Databricks

Snowflake

APIs

Job description

Job description:

Heritage Golf Group is looking for a Data Engineer to help support our growing data, reporting, and business system needs across our clubs.

The Data Engineering & Architecture Manager will own the strategy, development, and management of the company’s enterprise data environment. This role combines strategic leadership with hands‑on data engineering to build scalable data architecture, pipelines, integrations, and governance practices that deliver reliable and accessible data across the organization. Working closely with business and technology partners, this individual will translate business needs into data solutions that improve reporting, analytics, automation, and decision‑making.

Responsibilities

Data Architecture & Modeling Strategy

• Develop recommendations on optimized state of data models, data warehouse, and semantic layers and own the long‑term strategy and solution (including refinements and iterations)
• Lead data architecture planning, technology evaluations, and platform enhancements
• Develop and maintain SQL queries, data models, and Microsoft Fabric assets including Lakehouses, Warehouses, Dataflows, and Semantic Models
• Support the development of scalable data structures for reporting and analytics

Data Governance & Security

• Develop and maintain data governance standards, data definitions, and master data management
• Create documentation, SOPs, and knowledge base articles so processes are easy to follow
• Ensure data security, access controls, and compliance with company policies

Data pipeline and integration development and maintenance

• Design, build, and maintain automated data pipelines and integrations that support enterprise reporting and analytics
• Implement real‑time and batch data processing solutions
• Develop ETL/ELT processes to collect, transform, and load data for reporting and analytics using tools such as DBT, Databricks, or similar platforms
• Create and maintain APIs and data services to facilitate data access across applications and business functions, including working with 3rd parties to establish and maintain data connections

Performance Optimization

• Optimize query execution, database performance, and reporting efficiency
• Identify opportunities to automate manual processes (e.g., data feeds, reporting)

Monitoring & Reliability

• Monitor and maintain data quality, data governance/documentation, and system integrations and identify issues, to ensure accuracy, reliability, and scalability
• Develop alerts, validation checks, and automated monitoring processes

Business partner

• Partner with business stakeholders (e.g., Finance, Operations, Marketing, Clubs) to translate data and reporting needs into data solutions that support operational and strategic decision‑making

Other activities

• Support business applications, user access, and system data where it ties into reporting and operations
• Help with user questions, ticket triage, and troubleshooting when it relates to areas of responsibility

Qualifications

• 5+ years of experience in data engineering or a similar role
• Demonstrates previous ownership and thought leadership in data governance, architecture strategy and development
• Demonstrates previous experience in development and maintaining data warehouses and data lakes, including data pipeline from internal and external sources
• Experience in working with 3rd parties to establish and maintain data connections
• Experience building, maintaining, or supporting reports and dashboards
• Experience working in complex multi-unit businesses
• Strong communication skills and the ability to work with both technical and non-technical colleagues
• Microsoft Fabric, DBT, Azure, Snowflake
• Power BI
• Coding languages such as SQL, Python, Spark, and cloud-native data services

Preferred

• Hospitality, golf, and/or retail

What does success look like

• Scalable architecture supporting future business growth
• High data availability and reliability
• Accurate and timely delivery of business-critical datasets
• Reduced manual data processing through automation
• Improved data quality and governance compliance

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Vision insurance

Work Location: In person