Cloud Data Architect

1 month ago

Lakewood, United States Onix Networking Full time

About Onix: Onix is a Google Cloud Premier Partner serving over 1,400 customers, including several of the world's largest corporations, enabling them to leverage Google Cloud Platform across industries and use cases effectively. Onix specializes in Google Cloud Solutions such as Workload Migrations, Data & Analytics, Data infrastructure and Visualization, Infrastructure Services, Collaboration & Productivity, and Location-based Services. Onix is a 13-time 'Google Partner of the Year' award winner and a Google Cloud Managed Services Partner. Summary: Onix seeks an experienced Cloud Data Architect who will be vital in designing and implementing solutions that meet client business needs and support the overall cloud architecture. As a Cloud Data Architect, you will collaborate closely with business stakeholders, IT leaders, and technical teams to design and implement data architectures, including pipelines, migrations, schemas, security, and operations components. You will collaborate with cross-functional teams, including client executives, architects, engineers, and business stakeholders, to understand their requirements and translate them into robust cloud solutions. The ideal candidate will have hands-on experience with data technologies. Location: Remote Primary Responsibilities: Design and implement data solutions for enterprise customers. These may include ETL/ELT, Data Pipelines, warehouses, lakes, structured and unstructured data, and analytics an reporting Create and maintain technical documentation, architectural diagrams, and best practices for data, databases, data warehouses, data lakes, migrations, and pipelines. You will lead clients in the architecture and design of enterprise-level cloud engineering solutions using cloud data platforms, ensuring scalability, reliability, security, and performance. Help drive the design and implementation of data solutions, ensuring they meet client requirements, industry standards, and best practices. Collaborate with business stakeholders and executives, enterprise and solution architects, engineers, and other teams to understand requirements, use cases, and business objectives. Ensure quality, integrity, and governance standards are met throughout the engineering lifecycle. Stay current with the latest advancements in data, analytics, and related technologies, evaluate their potential impact on the organization, and recommend relevant solutions. Collaborate with security and compliance teams to ensure data privacy, security, and compliance requirements are met within the cloud environment. Help in hiring, training, and mentoring new engineers and architects on best practices Partner with Delivery, and Support teams to find opportunities to reduce the manual effort needed to complete deployments. Minimum qualifications: 6 years of experience in a customer-facing or support role. Experience with Big Data technologies, Analytic Warehousing technologies, data processing technologies, performance and scalability optimizations. 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, streaming, data processing (e.g., Extract, transform, and load /Extract, Load, and Transform), data migrations, data visualization tools, and data governance on cloud native architectures. Knowledge of cloud computing (e.g., infrastructure, storage, platforms, and data). Proficiency in programming languages such as Python, Java, Javascript/Typescript, TerraForm, Scala, SQL, or others and experience with related libraries and frameworks. Experience with cloud platf

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