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