[Remote] Senior Analytics Engineer

Note: The job is a remote job and is open to candidates in USA. PSECU is a long-standing organization focused on helping its members achieve more. They are seeking a Senior Analytics Engineer to build the data transformation architecture that enables reliable analytics and positions the organization for future growth. This role involves leading the design of a unified, cloud-based data environment and collaborating with various teams to ensure effective data solutions and governance practices.

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
• Other duties as assigned

Skills

• 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 maintain transformation logic in dbt
• Proven experience designing data models and transformation pipelines in regulated environments
• Ability to translate business needs into clear architectural patterns
• Strong communication and collaboration skills with comfort working with senior leaders
• Ability to guide and mentor analytics engineers and analysts
• Strong grounding in data governance, lineage, and quality practices
• Experience in financial services, preferably credit unions, and an understanding of the regulatory and operational context in which they operate
• Experience leading or contributing to data and cloud migration projects
• Exposure to Azure or hybrid cloud data environments
• Familiarity with metadata management tools and data catalogs

Company Overview