Senior Data Architect
We are seeking a seasoned data expert to spearhead our data strategy, driving innovation and excellence in data engineering.
This key role involves overseeing the design, development, and maintenance of robust data pipelines, leveraging event-driven and batch paradigms. The ideal candidate will possess a deep understanding of SQL performance tuning, as well as hands-on expertise with modern orchestration frameworks such as Airflow, Prefect, or Dagster.
* Key Responsibilities:
* Design, build, and maintain reliable data pipelines
* Define best practices for data modelling, warehousing, testing, CI/CD, and infrastructure-as-code
* Interface with stakeholders to gather requirements and translate them into solutions
* Operate what you build: implement monitoring, alerting, and incident response playbooks
Requirements
* Proven experience (5+ yrs) in Data Engineering, with at least 1 year leading or mentoring engineers while remaining hands-on
* Strong programming skills in Python (or similar) and a deep understanding of SQL performance tuning
* Hands-on expertise with event-driven architectures and modern orchestration frameworks
* Solid knowledge of Amazon Web Services (S3, Redshift, Lambda, Glue, Step Functions, IAM) or another major cloud provider
* Production experience with infrastructure-as-code and automated CI/CD workflows
* Demonstrated ability to apply software-engineering best practices to data problems
Benefits
* A highly skilled team environment with opportunities for growth and development
* A flexible and open-minded work environment
* Four weeks of paid vacation per year, increasing to five weeks after two years
* Access to our Benefits Hub with many discounts and savings
About the Role
This is a mid-senior level position that requires excellent communication skills and the ability to translate technical trade-offs for non-technical audiences. The ideal candidate will be a natural leader, able to mentor and guide their team towards best-in-class engineering practices.