Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate

Demonstrates in-depth abilities and/or success in one or many of the following areas: 

• Designing and implementing comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; 
• Developing and documenting data models, data flow diagrams, and data architecture guidelines; 
• Assessing that data architecture is compliant with data governance and data security policies; 
• Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; 
• Evaluating and recommending new data technologies and tools to enhance data architecture; 
• Evaluating data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; 
• Developing leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; 
• Leading the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; 
• Architecting, designing, building and optimizing ETL/ELT pipelines for data ingestion, processing, and storage; 
• Developing and deploying scalable data storage solutions using GCP services;  
• Architecting, designing,and implementing scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau;
• Designing, implementing, and managing workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; 
• Architecting, designing and implementing data warehouses and data lakes, ensuring data is organized and accessible; 
• Developing frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; 
• Architecting and overseeing implementation of IAM roles and policies to manage access and permissions within GCP; 
• Developing automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; 
• Architecting and implementing services using GCP DevOps services to build and deploy DevOps pipelines; 
• Developing data security industry standard practices using GCP; 
• Optimizing Cloud resources for cost, performance, and scalability; 
• Demonstrating strong proficiency in SQL and experience with relational databases; 
• Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; 
• Experience with machine learning and data science workflows is a plus; 
• Knowledge of data governance and data security industry practices; 
• Possessing strong analytical, problem-solving, and communication skill; and,  
• Working independently and as part of a team in a fast-paced environment. 

Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas: 

• Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; 
• Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; 
• Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; 
• Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, 
• Coaching and collaborating with associates who assist with this work, including providing coaching, feedback, and guidance on work performance.