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Form of workJob Description
Company: SaaS - Healthcare Technology (high growth)
Job Overview:
Responsibilities and Duties:
Qualifications:
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
