Role: Data Architect - Databricks Machine Learning Full time Professional Remote - Nationwide About Onix: Onix is a leading cloud consulting company that helps customers get the most out of their technology with innovative, cloud-powered solutions and best-in-class services. We offer cloud solutions across various use cases and industries, from migration to advanced analytics and innovative AI solutions. With our global team of accomplished cloud experts, we are the most trusted cloud partner in the industry. Summary: Onix seeks an experienced Data Architect specialized in Machine Learning who will be vital in designing and implementing solutions that meet client business needs and support the overall cloud architecture. As a Machine Learning Architect, you will be critical in defining the technical architecture, selecting appropriate technologies, and developing machine learning models and systems. You will work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to deliver innovative and scalable machine-learning solutions that address complex business challenges. This role required being a self-starter and may include overseeing other engineers' work. Location: Remote - US, Support EST business hours Scope/Level of Decision-Making: This exempt position operates under limited decision-making and supervision. Position performs various assigned activities, referring more complex issues to the manager. Primary Responsibilities: Lead the design, development, and implementation of enterprise-level machine learning solutions, from data collection and preprocessing to model training, evaluation, and deployment that integrate into the overall data architecture. Provide thought leadership and technical expertise in designing, building, and optimizing end-to-end data pipelines, from data extraction and transformation to loading and visualization. Collaborate with business stakeholders, data engineers, data scientists, and other teams to understand data requirements, use cases, and business objectives. Architect scalable and efficient machine learning pipelines and workflows, leveraging best practices and cutting-edge technologies that incorporate into Databricks. Design and implement data processing and feature engineering pipelines to extract relevant information from diverse, large-scale datasets. Ensure data quality, integrity, and governance standards are met throughout the data engineering lifecycle. Create and maintain technical documentation, run books, code, and best practices for data and machine learning engineering on the Databricks platform. Collaborate with infrastructure and DevOps teams to deploy and operationalize machine learning models in production environments, ensuring reliability, scalability, and performance. Stay up-to-date with the latest advancements in machine learning research, algorithms, tools, Databricks, and related technologies, and propose innovative solutions to enhance our capabilities. Consult on Professional Services Engagements to help our customers design and implement data warehouse solutions. Lead and develop best practices for the larger data analytics delivery team. Provide client presentations to review project design, outcomes, and recommendations. Minimum Qualifications & Skills . 5+ years or more consulting experience working with external clients across a variety of industry markets 7+ years experience in Data Architecture, data engineering & analytics in areas such as performance tuning, pipeline integration & infrastructure configuration In-depth knowledge of AWS data services and related technologies, including but not limited to: Redshift, Glue, S3, AuroraDB, MWAA, Lambda, and SageMaker Deep knowledge and expertise in Databricks and