Senior Data Engineer

*(Zenoti / Data Architecture / Analytics)*

Job Overview

The Senior Data Engineer is a strategic thinker who will combine expertise in data analysis, data visualization, and business acumen to transform complex data sets into actionable insights. This role employs a variety of tools and methodologies to interpret trends, patterns, and predictions within business data, providing a foundation for improved efficiency, increased profitability, and competitive advantage. The role also involves extensive cross-functional collaboration with marketing, IT, Operations, and Finance. It also empowers stakeholders to make informed decisions that drive business success.

About the Opportunity

This is a high-impact role with direct influence on how the business scales. You will play a critical role in ensuring our systems are connected, our data is trustworthy, and our leadership team has the insights needed to drive performance.

This role sits at the intersection of
data engineering, systems integration, and business intelligence
, with responsibility for ensuring our data environment is
accurate, scalable, and actionable
as we grow through both organic expansion and acquisitions.

Qualifications

• Advanced proficiency in Data Engineering and Data Modeling
• Experience with building and managing Extract Transform Load (ETL) processes and pipelines
• Knowledge of Data Warehousing best practices and large-scale data architecture
• Strong skills in Data Analytics, interpreting data trends, and delivering actionable insights
• Proficiency in programming languages such as Python, SQL, or Scala
• Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus

What You’ll Own

• Oversee the end-to-end development and support of business Intelligence reporting environments and data warehouse, including Snowflake, Power BI, Power App, Power Automate, Rivery, and other technologies as needed
• Provide data management services such as accessing new data feeds, building queries and macros, organizing data and designing dashboards that present status-at-a-glance visualization for business performance
• Lead and partner with a variety of stakeholders across the organization to design, build and test new reports and analytics dashboards
• Train end-users on new reports and dashboards, providing technical support as needed
• Guide data strategy and the analytic needs of the business by aggregating data from diverse sources (e.g. EMR, Finance, Call Data, Marketing, HR, etc.) with incongruent data definitions and types
• Partner with and oversee work performed by data engineering vendors on updates to existing integrations and dashboards, as well as the development of new data integrations and dashboards
• Own the data integrity across multiple connected systems, including defining and communicating data definitions and monitoring metric consistency

Data Architecture & Integrity

• Evaluate and improve our current data architecture
• Simplify and streamline data flows across multiple systems
• Ensure data accuracy, consistency, and reliability across the business
• Establish best practices for data structure, governance, and system interoperability

Systems Integration

• Build, maintain, and troubleshoot integrations across key platforms, including:
• Zenoti (EMR / operations)
• NetSuite (financial reporting)
• HubSpot (CRM)
• GA4 (web analytics)
• Meta (paid media / engagement data)
• CallRail (call tracking)

Business Intelligence & Reporting

• Own reporting and analytics across the organization
• Build and maintain dashboards that provide clear, actionable insights for leadership
• Translate complex data into meaningful business intelligence across operations, marketing, and finance

Zenoti Ownership & Acquisition Integration

- Support ongoing optimization and data structure within
Zenoti
- Lead or assist with onboarding new acquisitions, including:
- Data migration and normalization
- System integration into the broader data environment
- Ensuring reporting continuity post-integration

Vendor & Partner Management

• Evaluate current third-party vendors supporting data and integrations
• Determine when to build internally vs. leverage external support
• Clearly define requirements and ensure high-quality execution from partners

Required Experience

- Strong experience in
data engineering, data architecture, or analytics engineering
- Hands-on experience with
data warehouses (Snowflake preferred)
- Experience building and maintaining
ETL pipelines and system integrations (APIs)
- Proven ability to work across multiple systems and reconcile data between them
- Experience building
BI dashboards and reporting solutions

Preferred Experience

- Experience with
Zenoti
or similar multi-location operational platforms
- Familiarity with:
- NetSuite (financial data)
- HubSpot (CRM)
- GA4, Meta, Call Rail (marketing analytics)
- Experience in a
multi-unit or multi-location business environment
- Exposure to
acquisition integration or system consolidation

About Us

This search is being conducted by
Renew Strategy Group
, a consulting and talent firm specializing in high-growth aesthetics, wellness, and longevity platforms.

We partner with organizations to identify and place high-impact leaders and operators who drive measurable performance.