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 various stakeholders to create robust cloud solutions, ensuring scalability, reliability, security, and performance in data architectures.

Responsibilities

• Design and implement data solutions for enterprise customers, including ETL/ELT, Data Pipelines, data 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, architects, engineers, and other 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, evaluating their impact and recommending solutions.
• Collaborate with security and compliance teams to meet data privacy and security requirements.
• Assist in hiring, training, and mentoring new engineers and architects on best practices.
• 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 and distributed systems.
• Experience with developing data warehousing, data lakes, batch/real-time event processing, and data governance on cloud native architectures.

Nice-to-haves

• Knowledge of cloud computing best practices and trends.
• Familiarity with data visualization tools and techniques.

Benefits

• Flexible work environment
• Professional development opportunities
• Health insurance
• 401k retirement plan