Manager Data Engineering

What you will do

In this vital role you will lead and scale an impactful team of data engineers. This role blends technical depth with strategic oversight and people leadership. The ideal candidate will oversee the execution of data engineering initiatives, collaborate with business analysts and multi-functional teams, manage resource capacity, and ensure delivery aligned to business priorities. In addition to technical competence, the candidate will be adept at managing agile operations and driving continuous improvement.

Roles & Responsibilities:

• Possesses strong rapid prototyping skills and can quickly translate concepts into working code.
• Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and standard methodologies.
• Design, develop, and implement robust data architectures and platforms to support business objectives.
• Oversee the development and optimization of data pipelines, and data integration solutions.
• Establish and maintain data governance policies and standards to ensure data quality, security, and compliance.
• Architect and manage cloud-based data solutions, using AWS or other preferred platforms.
• Lead and motivate an impactful data engineering team to deliver exceptional results.
• Identify, analyze, and resolve complex data-related challenges.
• Collaborate closely with business collaborators to understand data requirements and translate them into technical solutions.
• Stay abreast of emerging data technologies and explore opportunities for innovation.
• Lead and manage a team of data engineers, ensuring appropriate workload distribution, goal alignment, and performance management.
• Work closely with business analysts and product collaborators to prioritize and align engineering output with business objectives.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

• Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years computer science and engineering preferred, other Engineering field is considered
• Demonstrated proficiency in using cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.
• Proficient on experience in Python, PySpark, SQL. Handon experience with bid data ETL performance tuning.
• Proven ability to lead and develop impactful data engineering teams.
• Strong problem-solving, analytical, and critical thinking skills to address complex data challenges.
• Strong communication skills for collaborating with business and technical teams alike.

Preferred Qualifications:

• Experienced with data modeling and performance tuning for both OLAP and OLTP databases
• Experienced with Apache Spark, Apache Airflow
• Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
• Experienced with AWS, GCP or Azure cloud services

Professional Certification:

• AWS Certified Data Engineer preferred
• Databricks Certificate preferred

Soft Skills:

• Excellent analytical and troubleshooting skills.
• Strong verbal and written communication skills
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals
• Strong presentation and public speaking skills.