Big Data Architect, GCP & Python
Overview
You will lead the design, development, and maintenance of critical data solutions on Google Cloud Platform for Wells Fargo's Data Platform organization. You will architect and build scalable, secure, and high-quality software components that support business and technology goals. You will drive engineering best practices across the GCP data ecosystem, mentoring engineers and delivering production-ready systems. This contract role in Charlotte, NC offers the chance to own architecture for a major financial institution's data infrastructure.
What You'll Do8
- 1Design and deploy GCP data pipelines using BigQuery, Dataflow, and Pub/Sub to handle streaming and batch data processing.
- 2Lead the implementation of Python microservices for data ingestion and processing, ensuring high availability and fault tolerance.
- 3Drive the adoption of Terraform for infrastructure-as-code, managing GCP resources with versioned, repeatable deployments.
- 4Evaluate and select GCP services to optimize cost and performance, benchmarking against SLAs.
- 5Collaborate with data scientists and analysts to design data models and schemas in BigQuery that support analytics and machine learning.
- 6Establish monitoring and alerting for data pipelines using Cloud Monitoring and Stackdriver, ensuring data quality and freshness.
- 7Mentor junior engineers on GCP best practices, code reviews, and architectural patterns.
- 8Partner with security teams to implement IAM policies and data encryption strategies across GCP resources.
Requirements8
- 15+ years designing and implementing large-scale data architectures on Google Cloud Platform.
- 23+ years programming in Python for data engineering and API development.
- 3Hands-on experience with BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
- 4Proficiency with Terraform or Cloud Deployment Manager for infrastructure automation.
- 5Experience with real-time streaming solutions using Apache Kafka or Google Pub/Sub.
- 6Strong understanding of data warehousing concepts, including star schemas, partitioning, and clustering.
- 7Ability to translate business requirements into technical designs and deliver solutions end-to-end.
- 8Excellent communication skills to collaborate with cross-functional teams and present architecture decisions.
Salary Insight
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