Company: SaaS - Healthcare Technology (high growth)

Job Overview: 

• Manage team of data engineers
• Oversee the design, development, and maintenance of data infrastructure.
• Ensure scalable data design and reliable data pipelines

Responsibilities and  Duties:

• Lead our team of data engineers and database administrators with a strong focus on high-quality solution delivery and team culture.
• Design, implement and maintain scalable and reliable data pipelines, ETL processes, and databases to support a variety of data and analytics needs.
• Lead the development and maintenance of a comprehensive and up-to-date data dictionary by overseeing the capture of end-to-end data flows and the creation of source-to-target documentation, ensuring a detailed and accessible repository that enhances data understanding and transparency across the organization.
• Provide technical leadership and strategic direction to align data engineering initiatives with business objectives.
• Build cross-functional relationships with software engineers, solutions engineers. and other business stakeholders to collaboratively build solutions, standards, and processes.
• Provide strategic leadership to the data engineering team, guiding the effective and appropriate utilization of tools, including but not limited to BigQuery, SQLDBM, Airflow, and Great Expectations.
• Foster a culture of excellence in performant data transformations and clear schema design, ensuring alignment with operational and analytical business requirements.
• Manage and optimize data storage and processing systems to enhance performance, improve reliability and optimize cost.
• Manage alerting, on-call, triage, and response procedures to ensure timely resolution of issues.
• Ensure our data architecture is secure and compliant per company policies and industry standards.

Qualifications:

• 5 + years experience managing and leading data engineering and database administration teams
• In-depth knowledge of database systems, data warehousing concepts and data modeling techniques.
• 6 + years of hands-on experience in data management activities such as building data pipelines and database administration.
• Strong proficiency in programming languages such as Python and data processing framework such as Airflow
• Proficiency in one or more of the following technologies, languages, and databases: Python, SQL, MySQL database, BigQuery, Airflow, Google Cloud