Senior Data Analytics Engineer

We’re hiring a Data Architect to help design and deliver modern, scalable analytics platforms within a large, complex environment. This role sits at the intersection of analytics engineering, data modeling, and cloud-native platform design, with a strong focus on building high-quality, governed data products.

You’ll play a key role in shaping how analytics data is modeled, transformed, and delivered using tools like dbt Cloud, Databricks, and AWS
, partnering closely with engineers and product stakeholders to enable trusted, reusable data across the business.

This is an ideal opportunity for someone who combines strong hands-on capability with a product mindset and enjoys working across teams to turn business needs into well-designed data assets.

• Design and own scalable analytics engineering architectures using dbt Cloud, emphasizing modularity, testing, documentation, and governance
• Support the development of performant data workflows on Databricks, leveraging Delta Lake and Unity Catalog
• Partner with data product teams to translate business requirements into data models, semantic layers, and shared analytics assets
• Implement data quality frameworks, CI/CD pipelines, and version control practices across analytics projects
• Contribute to architecture and design reviews to ensure alignment with modern data best practices
• Champion a product-led approach to analytics datasets, treating data as a reusable, discoverable asset
• Identify opportunities to improve reliability, scalability, and developer experience within the data platform
• Promote strong data architecture and data management standards across teams

• 5+ years of experience in data architecture, analytics engineering, or data engineering
• Hands-on experience building transformation pipelines in dbt Cloud
• Practical experience working with Databricks and AWS
• Strong SQL skills, with working knowledge of Python in data workflows