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SimplePractice

via Greenhouse

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Director of Data Engineering

Anywhere
full-time
Posted 9/3/2025
Direct Apply
Key Skills:
Data Engineering Leadership
Cloud Data Platforms (AWS, Azure, GCP)
Data Architecture (lakehouse, data mesh, ELT)
Data Modeling and Warehouse Architecture
Data Governance and Compliance (GDPR, HIPAA)
Agile Software Development
Team Growth and Mentorship

Compensation

Salary Range

$208K - 260K a year

Responsibilities

Lead and grow the data engineering team, define and execute data strategy, oversee scalable data pipelines and platforms, enforce data governance, and collaborate across teams to deliver data products.

Requirements

7+ years in data engineering, 3+ years agile development, leadership experience, expertise in cloud data platforms and modern data architectures, knowledge of data governance and privacy regulations, and experience in fast-paced product environments.

Full Description

About Us At SimplePractice, our team is dedicated to improving the health and wellness industry by building a suite of innovative solutions for practitioners and their clients. Our product supports practitioners on their clinical journey to becoming licensed, helps them manage their business and practice once they’re up and running, and enables new clients to discover and interact with practitioners. Taking a practitioner-first approach in everything we do makes it possible for health and wellness practitioners to devote more time to their clients while they use SimplePractice to start, grow, and maintain a successful private practice. The Role We are seeking a highly experienced and strategic Director of Data Engineering to lead our data engineering team in building, scaling, and optimizing our data infrastructure and platforms. This role is critical in enabling our data-driven culture internally, as well as surfacing right data for the customer-facing analytics. You’ll lead initiatives around data architecture, pipelines, platform modernization, and governance, partnering closely with stakeholders across Product, Engineering, Analytics, and Business teams. Responsibilities Lead, mentor, and grow a high-performing team of data engineers, analytics engineers, and architects Define and execute the data engineering strategy aligned with business goals, in coordination with product engineering and analytics Oversee the design and development of scalable, robust, and secure data pipelines Own and evolve the enterprise data platform (data lake, data warehouse, etc.) Drive best practices in data modeling, architecture, and infrastructure Collaborate with data science, analytics, and application teams to deliver high-quality data products Implement and enforce data governance, quality, security, and compliance standards (e.g., GDPR, HIPAA) Evaluate and implement emerging tools and technologies in the data ecosystem Optimize data storage, processing, and access for performance and cost efficiency Develop and manage the data engineering budget, roadmap, and project priorities Continue to raise the bar on quality, standard and rigor for data practice Desired Skills & Experience BS and above in Computer Science, Engineering, or a related field. 7+ years of experience in data engineering 3+ years of experience in agile software development Proven leader with experiences in growing and nurturing a team of talent data engineers Proven expertise in building and scaling data platforms in cloud environments (AWS, Azure, or GCP) Strong knowledge of modern data architecture (e.g., lakehouse, data mesh, ELT) and hands-on experience with tools such as Snowflake, dbt, Prefect. Deep Experience with data modeling and warehouse architecture Experience with data governance frameworks and data privacy regulations. Proven experience in aligning multiple functions and stakeholders on technical design choices and strategy Experience working in a product-led or fast-paced startup environment Comfort with ambiguity and able to make decisions with the best information available Familiarity with ML pipelines and support for data science workflows Bonus Points Background in DevOps practices Background in clinical or operational healthcare workflows Experience in rolling out self-serve NLP queries in Product Base Compensation Range $208,000 - $260,000 Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay. The above represents the expected base compensation range for this job requisition. Ultimately, in determining your pay, we’ll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors. Benefits We offer a competitive benefits program including: Medical, dental, vision, life & disability insurance 401(k) plan with company match Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays Mental health resources Paid parental leave & Backup Care Tuition reimbursement Employee Resource Groups (ERGs) California Job Applicant Privacy Notice Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice. For more information about our privacy practices, please contact us at privacy@simplepractice.com.

This job posting was last updated on 9/8/2025

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