Cloud Data Architect
New
O
OnixCloud data
Source API remote eligibility restrictions: Canada, United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years of experience in a customer-facing or support role
- Required Skills
- AWSPythonSQLData engineeringBigQuery
Requirements
- Have 5+ years of experience in a customer-facing or support role.
- Have experience with Big Data, data engineering, data architecture, data processing, and/or data streaming.
- Have experience with cloud platforms such as AWS or GCP and services such as Glue, Redshift, BigQuery, or Dataflow.
- Have experience delivering technical presentations and live demonstrations in an enterprise business environment.
- Have experience designing, implementing, and tuning architectures, schemas, and queries for scalable distributed systems.
- Have experience with data warehousing, data lakes, batch and real-time event processing, streaming, data processing, migrations, visualization tools, and data governance on cloud-native architectures.
- Have knowledge of cloud computing, including infrastructure, storage, platforms, and data.
- Be proficient in technologies such as Python, Spark/PySpark, Terraform, Apache Airflow, or SQL.
- Have a bachelor's degree in Computer Science or equivalent practical experience.
- Consulting experience in cloud computing, data, information lifecycle management, or Big Data is preferred.
- Experience with large-scale data and database migrations is preferred.
Responsibilities
- Design and implement data solutions for enterprise customers, including ETL/ELT, data pipelines, warehouses, lakes, and analytics and reporting.
- Create and maintain technical documentation, architectural diagrams, and best practices for data systems, migrations, and pipelines.
- Lead clients in designing enterprise cloud engineering solutions using cloud data platforms.
- Ensure data solutions meet client requirements, industry standards, and best practices.
- Collaborate with stakeholders, executives, architects, engineers, and other teams to understand requirements, use cases, and business objectives.
- Ensure quality, integrity, and governance standards throughout the engineering lifecycle.
- Work with security and compliance teams to meet data privacy, security, and compliance requirements.
- Help hire, train, and mentor engineers and architects.
- Partner with Delivery and Support teams to identify opportunities to reduce manual deployment effort.
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