About the Role:

We are seeking a highly skilled and experienced Data Engineering Architect to join our growing team. As a Data Engineering Architect, you will play a critical role in designing, building, and scaling Google's massive data infrastructure and platforms. You will be a technical leader and mentor, driving innovation and ensuring the highest standards of data quality, reliability, and performance.

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Responsibilities:

Design and Architecture:

•        Design and implement scalable, reliable, and efficient data pipelines and architectures for various Google products and services.

•        Develop and maintain data models, schemas, and ontologies to support diverse data sources and use cases.

•        Evaluate and recommend new and emerging data technologies and tools to improve Google's data infrastructure.

•        Collaborate with product managers, engineers, and researchers to define data requirements and translate them into technical solutions.

Data Processing and Pipelines:

•        Build and optimize batch and real-time data pipelines using Google Cloud Platform (GCP) services such as Dataflow, Dataproc, Pub/Sub, and Cloud Functions.

•        Develop and implement data quality checks and validation processes to ensure data accuracy and consistency.

•        Design and implement data governance policies and procedures to ensure data security and compliance.

Data Storage and Management:

•        Design and implement scalable data storage solutions using GCP services such as BigQuery, Cloud Storage, and Spanner.

•        Optimize data storage and retrieval for performance and cost-effectiveness.

•        Implement data lifecycle management policies and procedures.

Team Leadership and Mentorship:

•        Provide technical leadership and guidance to data engineers and other team members.

•        Mentor and coach junior engineers to develop their skills and expertise.

•        Foster a culture of innovation and collaboration within the team.

Qualifications:

•        Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

•        8+ years of experience in data engineering or a related field.

•        Strong understanding of data warehousing, data modeling, and ETL processes.

•        Expertise in designing and implementing large-scale data pipelines and architectures.

•        Proficiency in SQL and at least one programming language such as Python or Java.

•        Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.

•        Experience with open-source data processing frameworks such as Hadoop, Spark, and Kafka.

•        Excellent communication, interpersonal, and collaboration skills.

Preferred Qualifications:

•        Experience with data governance and data quality management.

•        Experience with machine learning and data science.

•        Experience with containerization and orchestration technologies such as Docker and Kubernetes.

•        Contributions to open-source projects or communities.

•        Google Cloud Professional Data Engineer certification.