Description
With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day - we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day.
One Confluent. One team. One Data Streaming Platform.
Data Connects Us.
About the Role:
We are seeking a highly skilled and experienced Data Architect for our Data Engineering team. The primary responsibility of this role is to lead the data engineering team with the best practices across the spectrum of data product development. It would involve designing, developing, and maintaining our data warehouse.
What You Will Do:
Design, architect, and maintain the data warehouse infrastructure to support business intelligence and analytics needs.
Implement DBT (Data Build Tool) for data modeling, data transformation, and orchestration of data pipelines.
Develop and manage data pipelines, ensuring data quality, reliability, and scalability.
Lead DBT transformations, optimizing performance and efficiency.
Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
Establish and enforce data governance policies, standards, and best practices.
Experience with Airflow orchestration for scheduling and managing workflows.
GCP experience, including familiarity with Google Cloud services such as BigQuery, Dataflow, and Pub/Sub.
Mentor and coach team members, providing guidance and support for their professional development.
Stay updated with industry trends, technologies, and best practices in data engineering and analytics.
What You Will Bring:
Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
8+ years of experience in data engineering, with a focus on designing and implementing data warehouses, data modeling, ETL processes, and data transformation pipelines.
Proficiency in DBT (Data Build Tool) and experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud Platform).
Strong expertise in SQL, Python, and data engineering tools and frameworks.
Experience with CI/CD principles and tools (e.g., Git, Jenkins, Docker).
Knowledge of data governance principles, data quality management, and regulatory compliance.
Experience with Airflow orchestration and familiarity with Google Cloud Platform (GCP) services.
Excellent communication, leadership, and collaboration skills.
Ability to work in a fast-paced, dynamic environment and lead a team to deliver high-quality results.
Come As You Are
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.
At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an annual estimated salary of $183,100 - $215,190, an annual bonus, and a competitive equity package. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE (https://confluentbenefits.com/) .
Click HERE (https://www.confluent.io/legal/confluent-candidate-privacy-notice/) to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
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