Senior Data Architect

2 weeks ago

Belfast, United Kingdom Rapid7 Full time

About the Role

Rapid7 is seeking a highly skilled Senior Data Engineer to join our Data Engineering team. As a key member of our team, you will be responsible for designing and implementing data infrastructure, building and maintaining data pipelines, and driving best practices in data engineering.

Key Responsibilities

  • Design and implement data infrastructure using cloud-based technologies such as AWS ECS/EKS and Terraform.
  • Build and maintain data pipelines using tools such as Airflow, Python, and Snowflake.
  • Partner with cross-functional teams to drive data-driven decision making and support business growth.
  • Develop and maintain hosted environments for key tools and applications.
  • Drive and mature best practices in data engineering, including IAC and DevOps.
  • Provide thought leadership and contribute to the vision of our data engineering function.
  • Participate in team processes such as on-call rotations, bug triage, technical direction, standards, and execution.
  • Own delivery architecture/execution of major component(s) from conception to release.
  • Looked up to for technical mentorship within the data engineering team.

Requirements

  • 5+ years of hands-on software engineering experience.
  • 4+ years working with a major cloud provider (preferably AWS); Experience building/maintaining VPC's and deploying code using Terraform is a must.
  • 3+ years building and maintaining hosted environments and applications using EKS or another container service is a must.
  • 5+ years of experience in at least one programming language such as Python, Java, Scala is required (Python is our most commonly used language); Advanced SQL expertise is required.
  • Experience working in a modern lakehouse is required (Snowflake is preferred); Modern warehousing best practices should be second nature.
  • Cloud experience is required (AWS is strongly preferred); Terraform is highly preferred.
  • Knowledge and ideally hands on experience working with container services is required (ECS, Kubernetes, etc).
  • Experience working in a mature SDLC environment (ie: CICD) is required.
  • Modern tech stack experience is a plus (dbt, Fivetran, Snowflake. Airflow).
  • Experience as a leader within a data engineering team and ability to mentor teammates.
  • Strong work ethic, resiliency, persistence, and urgency; Data Engineering holds itself to a high standard so you'll need to keep up.
  • Sharp business and interpersonal skills; ability to influence at senior levels across business units to drive change and achieve common goals.
  • BS or MS in Computer Science, Analytics, Statistics, Informatics, Information Systems or another quantitative field or equivalent experience.

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