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Members Achieve More isn't just a tagline for us, it's part of everything we do! Â We're looking for passionate individuals to join our team to help us maintain that focus every day. Â Want to work somewhere that's remained strong for 90 years, that encourages you to learn, grow, and pursue your dreams? If yes, then read on...
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. This role is about building the data architecture we truly need, focused on outcomes, not trends. You’ll lead the design of a unified, cloud-based data environment centered on dbt and modern analytics engineering practices, enabling reliable transformation logic and data modeling that supports analytics, governance, and operational decision-making across the organization. Your work will shape how data is modeled, tested, and shared to enable a modern and scalable data ecosystem.Schedule: Monday - Friday 8:00am - 4:00pm. This position will be a hybrid model both in person and remote with minimum of onsite expectation of 40% or as needed.
In this position, you will
POSITION SPECIFIC ESSENTIAL DUTIES
- 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 engineers, analysts, and business leaders to translate requirements into reliable, well-structured data solutions models and transformation pipeline.Â
- 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.Â
- Other duties as assigned.Â
Qualifications:
Bachelors, Bachelors: Computer and Information Science, Bachelors: Information Technology, Bachelors (Required)8+ years of experience in data architecture, data engineering, or closely related work | Required Experience leading or contributing to data and cloud migration projects.  | Not Required Experience working with cross functional technical and business teams in a regulated industry  | Not Required Exposure to Azure or hybrid cloud data environments.  | Not Required Familiarity with metadata management tools and data catalogs.  | Not Required • Demonstrated experience designing and supporting modern data platforms in cloud or hybrid environments | RequiredLearn more about this Employer on their Career Site
