We are seeking an expert Team Leader to guide a group of skilled data engineers. In this role, you will architect, implement, and support data infrastructure whilechampioning our long-term data vision.
Responsibilities:
Direct, mentor, and empower a team of data engineers, overseeing project roadmaps, priority management, and cultivating a high-performance culture rooted in technical mastery and accountability.
Define data strategy and technical standards, architecting sustainable,
high-scale solutions that remain resilient over the long term.
Uphold rigorous technical standards and product quality while driving
innovation and ensuring reliable delivery within an agile framework.
Take ownership of diverse data assets, serving as the primary
technical authority for data-related inquiries across the R&D organization.
Partner with Engineering, Data, Product, and BI stakeholders to promote data
integrity and facilitate informed decision-making through the creation of
mission-critical tools and features.
Contribute as an active member of the R&D Leadership Forum.
Responsibilities:
Direct, mentor, and empower a team of data engineers, overseeing project roadmaps, priority management, and cultivating a high-performance culture rooted in technical mastery and accountability.
Define data strategy and technical standards, architecting sustainable,
high-scale solutions that remain resilient over the long term.
Uphold rigorous technical standards and product quality while driving
innovation and ensuring reliable delivery within an agile framework.
Take ownership of diverse data assets, serving as the primary
technical authority for data-related inquiries across the R&D organization.
Partner with Engineering, Data, Product, and BI stakeholders to promote data
integrity and facilitate informed decision-making through the creation of
mission-critical tools and features.
Contribute as an active member of the R&D Leadership Forum.
Requirements:
7+ years of hands-on experience with data engineering and backend systems
3+ years of experience in team leadership roles.
Experience with Python or a similar coding language, with a strong focus on cloud data infrastructure and scalable systems.
Strong command of SQL and a track record of pragmatic schema design.
Deep understanding of data modelling, ETLs and streaming technologies, including hands-on experience with tools like big-data tools like AWS Kinesis / Kafka, Spark.
Familiarity with modern lakehouse / warehouse tech, like Databricks, Delta Lake, Iceberg, Snowflake, Redshift.
Strong understanding of distributed systems, microservices architecture, containerization, and CI/CD pipelines.
Proficiency in Infrastructure as Code (IaC) tools, like Terraform or AWS CDK.
Experience with containerization and orchestration tools – Docker, Kubernetes (K8s).
Ability to take full product ownership from ideation to delivery, ensuring alignment with business objectives.
Familiarity with agile development methodologies.
Excellent communication skills with the ability to work effectively across teams and a customer-oriented mindset. Clear English communication is required.
Thrive in a fast-paced, dynamic environment with shifting priorities
Advantages:
○ Deep expertise in Databricks (Delta Lake, Unity Catalog, DLT).
○ Knowledge of the medical tech world, including EHR (HL7, FHIR) dataand imaging data.
○ Prior work in regulated domains (healthcare, fintech, aviation), experience with enforcing and managing compliance requirements like HIPAA or FedRAMP.
○ BSc/MSc in Computer Science, Engineering, or a related field.
7+ years of hands-on experience with data engineering and backend systems
3+ years of experience in team leadership roles.
Experience with Python or a similar coding language, with a strong focus on cloud data infrastructure and scalable systems.
Strong command of SQL and a track record of pragmatic schema design.
Deep understanding of data modelling, ETLs and streaming technologies, including hands-on experience with tools like big-data tools like AWS Kinesis / Kafka, Spark.
Familiarity with modern lakehouse / warehouse tech, like Databricks, Delta Lake, Iceberg, Snowflake, Redshift.
Strong understanding of distributed systems, microservices architecture, containerization, and CI/CD pipelines.
Proficiency in Infrastructure as Code (IaC) tools, like Terraform or AWS CDK.
Experience with containerization and orchestration tools – Docker, Kubernetes (K8s).
Ability to take full product ownership from ideation to delivery, ensuring alignment with business objectives.
Familiarity with agile development methodologies.
Excellent communication skills with the ability to work effectively across teams and a customer-oriented mindset. Clear English communication is required.
Thrive in a fast-paced, dynamic environment with shifting priorities
Advantages:
○ Deep expertise in Databricks (Delta Lake, Unity Catalog, DLT).
○ Knowledge of the medical tech world, including EHR (HL7, FHIR) dataand imaging data.
○ Prior work in regulated domains (healthcare, fintech, aviation), experience with enforcing and managing compliance requirements like HIPAA or FedRAMP.
○ BSc/MSc in Computer Science, Engineering, or a related field.
This position is open to all candidates.
