Senior Analytics Engineer

About the role

The role of the Sr Analytics Engineer is to build the data transformation architecture that enables reliable analytics and positions us for what’s next. This person brings deep technical expertise in data transformation and modeling with a collaborative leadership style.

Responsibilities

• Own the design and roadmap of our data transformation layer and modeling standards, building a modern, analytics-ready data warehouse that elevates our analyst’s work and positions us for what’s next.
• Lead the implementation of DBT as the core transformation layer in our modern data stack and the broader modern data stack, embedding strong modeling and documentation practices across teams.
• Partner with analytics engineers, analysts, and business leaders to translate requirements into reliable, well-structured data solutions models and transformation pipeline.
• Define and uphold architectural standards, governance frameworks, and documentation practices that promote trust in data, discoverability, and collaboration across the analytics organization.
• Guide the modernization of our Microsoft-based data environment (including Fabric, SQL Server, Synapse, and Power BI), integrating modern technologies where they clearly add value.
• Provide architectural direction and mentorship, fostering clarity, collaboration, and professional growth across the team, helping analytics engineers and analysts level up their modeling and transformation skills.

Requirements

• Bachelor’s degree in a technical field, such as computer science, information systems, engineering, or related discipline
• 8+ years of experience in data modeling, data architecture, or closely related work
• Strong experience in data modeling and analytics engineering or data warehousing
• Deep hands-on expertise with dbt and modern data stack tools (e.g., Snowflake, AWS, Fivetran, Airbyte, or similar)
• Highly proficient in building, testing, and maintaining transformation logic in dbt
• Proven experience designing data models and transformation pipelines in regulated environments
• Strong communication and collaboration skills with comfort working with senior leaders
• Ability to translate business needs into clear architectural patterns
• Strong grounding in data governance, lineage, and quality practices

Qualifications

• Bachelor’s, Bachelors: Computer and Information Science, Bachelors: Information Technology, Bachelors (Required)
• Any equivalent combination of experience and education