Cloud Native Data Architect

1 day ago

Columbus, Ohio, United States Confluent Full time
Job Description
We are seeking a Cloud Native Data Architect to lead our data engineering team. As a Director of Data Engineering, you will be responsible for building the strategy and leading a team of high-performing data engineers to execute a vision that will enable scalable, agile, and impactful data science and analytics across the company.

  • Develop a robust, reliable, and 24x7 available internal data platform.
  • Lead the team to design and maintain scalable and reliable data architecture.
  • Collaborate with BI, Data Science and x-functional stakeholders to align on Data Engineering teams' dependencies, roadmap, priorities, engagement model, and key processes.
  • Drive the vision, strategies and roadmap of Data Engineering, and ensure data governance, documentation, lineage, and compliance with industry standards and regulations.
  • Mentor and develop a global team of data engineers, data architects, and leaders.

Responsibilities
Key responsibilities include:
  • Building a team of data engineers, data architects, and leaders.
  • Developing and maintaining a robust and reliable internal data platform.
  • Leading the team to design and maintain scalable and reliable data architecture.
  • Collaborating with cross-functional teams to ensure data governance, documentation, lineage, and compliance with industry standards and regulations.

Requirements
To succeed in this role, you will need:
  • Bachelor or advanced degree in Computer Science, Engineering, or related technical discipline.
  • 10+ years of experience in the Data Engineering domain in the industry.
  • 5+ years of experience managing a Data Engineering team.
  • Hands on experience with GCP, including BigQuery & Airflow.
  • Broad experience with other cloud native data solutions, tools, and infrastructure.
  • Solid understanding of DevOps practices, including Infrastructure as Code (IAC), containerization (Docker/Kubernetes), and CI/CD pipelines.
  • Design, build, and maintain scalable data pipelines using Airflow and other orchestration tools.
  • Experience with Kafka in a production environment.
  • Working knowledge of programming languages, i.e. SQL, Python, Java/Scala.
  • Strong ability to communicate cross-functionally, derive requirements and architect.

What We Offer
We offer a competitive pay and benefits package, including an annual estimated salary of $221,300 - $265,500, an annual bonus, and a competitive equity package.

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