Tech Lead Data Platform

Duties/Responsibilities

• Hands-On Development
• Leading Technical Design
• Mentoring Team Members
• Communicating with Stakeholders
• Driving Technical Excellence
• Collaborating with other teams
• Collaborate with technology and business partners
• Architect and optimize cross-platform data integration solutions
• Manage and enhance our modern data stack
• Design and lead the development of reusable, scalable data models
• Analyze source systems for data acquisition, integration, and extraction
• Prepare, cleanse, and transform data for ad hoc analysis and prebuild reporting purposes
• Design, develop, and maintain efficient and scalable ELT data pipelines
• Triage and communication issues impacting data pipelines, project execution, and solution delivery
• Apply software development best practices to analytics code
• Provide oversight and review of data engineering work
• Participate in daily scrum meetings and collaborate with other agile team members
• Participate in code reviews and promote the adoption of best practices
• Mentors and coaches fellow team members in technical best practices and proper documentation techniques
• Leads and guides other team members in data solutioning and problem-solving activities
• Train end-users on the data and visualization tools owned by the team

Qualifications

• 5+ years of professional experience with modern data platform solutions and integration tools
• Bachelor’s degree in technical discipline or equivalent professional experience
• Expert SQL knowledge and experience working with cloud data warehouse platforms such as Snowflake, Azure, AWS Redshift, or Google Big Query
• Experience with ELT workflows, patterns, and vendor tools such as Marillion, Talend, or Snap Logic
• Experience with building data models for complex domains such as Operations, Finance, Marketing, and Supply Chain
• Knowledge of modern data modeling and transformation tools such as dbt
• Experience with cloud data warehouse migration from on-premises technologies such as Microsoft SQL Server
• Experience with Agile Software development practices (story grooming, spring planning, and retrospectives)