Data Architect - Platform Solutions

• Translate client pain points into clear problem statements by gathering requirements based on business needs.
• Design and architect enterprise data platforms to create business value.
• Leverage information assets to develop, administer, and test data solutions within a data warehouse or Lakehouse environment, focusing on the Extract-Transform-Load (ETL) process.
• Establish data management processes, including data security and privacy classification, while advising clients on information collection, storage, and usage.
• Provide optimal architecture and delivery approaches that balance costs, capabilities, and risks to achieve desired business outcomes.
• Develop solution proposals detailing project scope, approach, deliverables, and timelines for delivery architects and teams.
• Articulate complex architectural problems and solutions effectively while collaborating with clients.
• Build and maintain complex queries and real-time data pipelines to support data management approaches.
• Create playbooks and standardized frameworks to assist practitioners in their work.
• Stay updated with current data modeling and management platforms, tools, and techniques.

• Must hold a degree in Computer Engineering, Computer Science, Information Technology Systems, or a related field.
• 3 to 5 years of experience in a Data Architect role, specializing in platform solutions.
• Strong skills in data modeling and architecture.
• Proven experience in building large-scale enterprise data pipelines using analytics platforms, particularly for data warehouses and data lakes.
• Experience with data platform migration projects is required.
• Hands-on experience with analytics technology stacks, including cloud platforms (Azure, AWS), DataBricks, and various data management tools.
• Pre-sales experience, familiarity with MLOps/ALOps, and knowledge of data masking techniques are advantageous.

Classy Wheeler