Manager, Data Engineering

PracticeTekSan Diego, CA
8h

About The Position

PracticeTek is a large and established healthcare technology company, providing comprehensive software solutions to dental, orthodontic, chiropractic, optometry, and other healthcare clinics. We empower clinicians and their teams to deliver better patient care through innovative and user-friendly technology. At PracticeTek, you'll have the opportunity to: Work with dynamic technology solutions that are constantly evolving to meet the needs of the healthcare industry. Collaborate with a talented and passionate team of individuals who are dedicated to improving the lives of patients and healthcare providers. Make a real impact on the healthcare industry by helping to improve the efficiency and quality of care. Build a rewarding career with opportunities for growth and development. The Engineering department at PracticeTek is responsible for designing, developing, and scaling our SaaS platforms to meet the needs of thousands of healthcare providers. Working closely with Product and Design teams, Engineering ensures the seamless delivery of performant, secure, and cost-effective software solutions. The Engineering team is responsible for the foundational infrastructure, security, and reliability functions that support all PracticeTek products. This includes cloud architecture, observability, cost efficiency, and compliance with regulatory requirements like HIPAA and PCI. Lead and strategically scale the data engineering function, guiding innovative Snowflake-driven data initiatives, building high-performing teams, and directly impacting business analytics and product outcomes.

Requirements

  • 8+ years’ experience in data engineering, with 2–3 years managing engineering teams.
  • Proven leadership experience in Snowflake data warehousing, data modeling, ETL frameworks (dbt, Airflow), and cloud environments (AWS, Azure).
  • Strong understanding of business analytics and reporting, with a demonstrated ability to translate business requirements into technical solutions.
  • Track record of successfully delivering large-scale data projects on time with technical excellence.
  • Expertise in the areas of data governance, data privacy, information security, and compliance.
  • Outstanding written and verbal communication, stakeholder management, and strategic thinking capabilities.

Responsibilities

  • Lead, mentor, and grow the data engineering team, fostering professional growth and a culture of excellence.
  • Define and execute the data engineering roadmap, emphasizing Snowflake infrastructure and integration solutions.
  • Oversee architectural decisions, project timelines, and high-quality technical implementations.
  • Ensure reliability, scalability, and security of Snowflake data solutions and integrations.
  • Promote cross-functional collaboration to prioritize data projects aligned with strategic goals and initiatives.
  • Establish data governance, quality frameworks, and compliance standards (HIPAA, SOC2).
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