Cloud Data Architect

Onix Networking Corp. - Lakewood, OH

Full-time - Mid Level

Remote - Lakewood, OH

Professional, Scientific, and Technical Services

About the position

Onix is seeking an experienced Cloud Data Architect to design and implement data solutions that meet client business needs and support overall cloud architecture. This role involves collaboration with business stakeholders, IT leaders, and technical teams to create robust data architectures, including pipelines, migrations, schemas, and security components. The ideal candidate will have hands-on experience with data technologies and will play a crucial role in ensuring the scalability, reliability, and performance of cloud data solutions.

Responsibilities

• Design and implement data solutions for enterprise customers, including ETL/ELT, data pipelines, warehouses, lakes, and analytics.
• Create and maintain technical documentation, architectural diagrams, and best practices for data management.
• Lead clients in the architecture and design of enterprise-level cloud engineering solutions using cloud data platforms.
• Drive the design and implementation of data solutions that meet client requirements and industry standards.
• Collaborate with business stakeholders and technical teams to understand requirements and business objectives.
• Ensure quality, integrity, and governance standards are met throughout the engineering lifecycle.
• Stay current with advancements in data and analytics technologies and recommend relevant solutions.
• Collaborate with security and compliance teams to meet data privacy and security requirements.
• Assist in hiring, training, and mentoring new engineers and architects.
• Partner with Delivery and Support teams to reduce manual effort in deployments.

Requirements

• 5+ years of experience in a customer-facing or support role.
• Experience with Big Data, data engineering, data architecture, data processing, and/or data streaming.
• Experience with cloud platforms like AWS or GCP and their services (e.g., Glue, Redshift, BigQuery, Dataflow).
• Experience delivering technical presentations and live demonstrations in an enterprise business environment.
• Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable systems.
• Experience with developing data warehousing, data lakes, and data processing solutions.
• Knowledge of cloud computing infrastructure, storage, and platforms.
• Proficiency in technologies such as Python, Spark/PySpark, Terraform, Apache Airflow, SQL.
• Exceptional communication and interpersonal skills.

Nice-to-haves

• Experience as a consultant in cloud computing and Big Data.
• Experience in large-scale data and database migrations.
• Familiarity with data landscape and leading products.