Principal Data Architect

2 weeks ago

Lakewood, United States Onix Networking Full time

Role: Senior Data Architect with Databricks experience. Full time Professional Remote - US Summary: Onix is seeking an experienced Senior Data Architect/Principal Data Engineer that will play a key role in designing and implementing data solutions that meet client business needs and support the overall cloud data architecture. The ideal candidate will have a strong understanding of Lakehouse Architecture, data modeling, and data management, with a significant focus on data warehouse/Lakehouse design and development. The candidate will have experience in cloud platforms such as Azure, AWS and GCP. Location: Remote, United States Scope/Level of Decision Making: This is an exempt position operating under limited decision-making and supervision. Position performs a variety of assigned activities, referring more complex issues to the manager. Primary Responsibilities: Lead the Design, development, and implementing of Lakehouse & data warehouses architecture in a cloud based data environment that integrates with an overall data architecture. Work closely with business stakeholders to interpret their data needs and translate them into technical requirements. Have a good understanding of data governance and develop & implement data governance policies and procedures. Ensure data quality and integrity by implementing data testing and validation processes. Deploying and debugging cloud data initiatives as needed in accordance with best practices throughout the development lifecycle. Managing cloud data environments in accordance with company security guidelines. Lead the design and build of reusable, repeatable solutions and components for future use. Lead and mentor a team of data engineers to implement your solution designs Stay abreast of current and emerging trends and technologies in the data and AI/ML field. Educate delivery teams on the implementation of new cloud-based data analytics initiatives, providing associated training as required. Partner with Delivery, and Support teams to find opportunities to reduce manual effort needed to complete deployments. 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. Employ exceptional problem-solving skills, with the ability to see and solve issues before they snowball into problems. Lead the orchestration and automation cloud-based data platforms. Preferred Skills and Experience: 7+ years experience in Data Architecture, data engineering & analytics in areas such as performance tuning, pipeline integration & infrastructure configuration 10+ years of consulting experience Completed Databricks Data Engineering Professional/Associate certification OR Cloud Certification (Azure, AWS, GCP) Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep expertise in at least one Deep experience with distributed computing with Spark with knowledge of Spark runtime internals & Spark Structured Streaming Working knowledge of MLOps with a strong understanding of essential components of MLOps Architecture to build, train and deploy models Current knowledge across the breadth of Databricks product and platform features Familiarity with optimizations for performance and scalability Data Pipelining Experience leveraging Databricks Delta Live Tables and Data Built Tool (DBT) Experience with terraform, Git, CI/CD tools as well as Automation and Integration testing Thorough understanding of Databricks Delta, Iceberg, and Hudi Experience in best Spark Best Practices & Notebook, Cluster Creation &

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