Cloud Data Architect

This is a fully remote position, open to applicants in Tennessee, +1 more state.

📋 Description

• Design, develop, and sustain scalable data pipelines and APIs utilizing Google Cloud Platform.

• Create automated workflows and data platforms that facilitate analytics, reporting, and AI/ML applications.

• Establish best practices for data security, governance, CI/CD, and automated deployments.

• Collaborate with data engineers, architects, data scientists, and business stakeholders effectively.

• Generate high-quality, reusable code while mentoring team members on established best practices.

• Assist in testing, deployment, monitoring, and troubleshooting in production environments.

⛳️ Requirements

• Over 10 years of IT experience, with at least 5 years in Data Architecture.

• At least 2 years of practical experience with Google Cloud Platform.

• Minimum of 2 years in API development.

• Extensive experience with: BigQuery, Cloud Run, GKE, and Cloud Functions.

• Proficiency in Python (FastAPI), Java, or Scala.

• Familiarity with Apigee, Kafka, and Spark Streaming.

• Strong expertise in SQL, CI/CD, and Git/GitHub.

• Comprehensive understanding of Agile methodologies.

• Excellent problem-solving, communication, and collaboration skills.

• Robust experience with BigQuery, Cloud Storage, Dataflow/Dataproc, Pub/Sub, and APIs.

• Expertise in SQL, data modeling, ETL/ELT, and streaming architectures.

• Experience with CI/CD, Git/GitHub, and Agile methodologies.

• Strong communication abilities and capacity to mentor junior engineers.

• Preferred experience with Apigee, Python (FastAPI), Spark, Kafka, and Vertex AI.

• Google Cloud Professional Data Engineer Certification is a plus.

• Bachelor’s degree in computer science or a related field (Master’s degree preferred).

🏝️ Benefits

• Paid time off based on employee grade (A-F), as defined by policy: Vacation: 12-25 days, contingent on grade.

• Company-paid holidays.

• Personal Days.

• Sick Leave.

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).

• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).

• Life and disability insurance.

• Employee assistance programs.

• Additional benefits as stipulated by local policy and eligibility.