Your Role at a GlanceAnalytics engineering and Gold-layer development
- Develop and maintain certified use-case data models in dbt, including dimensional models, fact tables and reusable business metrics
Semantic layer and metric governance
- Author domain metrics, dimensions, hierarchies and time-intelligence logic according to the approved framework, maintaining definitions and lineage
Business intelligence delivery
- Build and optimize Power BI dashboards based on certified Gold data and governed semantic metrics
Quality, documentation and enablement
- Implement automated data-quality tests, maintain technical documentation and support self-service adoption and training materials
Operational tasks- Develop and maintain the domain Use-case (Gold) layer in dbt, following approved modeling and naming standards
- Build dimensional models, fact tables and business metrics from the Domain (Silver) layer
- Implement and maintain dbt data-quality tests and achieve the agreed test-coverage targets
- Document dbt models and publish the documentation and metadata in Unity Catalog
- Coordinate data contracts between the Domain and Use-case layers with Data Engineers, including column types, refresh expectations and nullability
- Escalate questions about Silver-layer business logic to the relevant Domain Specialist rather than independently redefining the logic
- Create domain metrics in the semantic layer, including dimensions, hierarchies and time intelligence
- Submit domain metrics and cross-domain definitions for review by the Semantic Layer & BI Lead before Gold certification
- Maintain metric definitions, lineage and registry records
- Build, test and optimize Power BI dashboards using certified Gold datasets and semantic metrics
- Apply data-security requirements, including appropriate access controls and row-level security when required
- Support business analysts and end users with self-service guidance and training materials. Management
- No direct people management responsibility. Expected to coordinate technical work across business and technology stakeholders and contribute to peer reviews and knowledge sharing. Expected deliverables
- Certified Gold-layer dbt models; tested and documented data products; governed semantic metrics; optimized Power BI dashboards; data contracts; lineage and metric documentation; user enablement materials
Tools- SQL, dbt, Databricks SQL, Unity Catalog, Power BI, DAX, Git, CI/CD pipelines and a semantic-layer framework such as MetricFlow or the approved platform equivalent
What Sets You ApartWe're looking for individuals who bring the right mix of experience, mindset, and motivation:
- Bachelor's degree in Computer Science, Information Systems, Computer Engineering, Data Engineering, Data Analytics or a related field
- Equivalent relevant professional experience may be considered
- Training or certification in dbt, Power BI, Databricks, dimensional modeling or cloud data platforms is an advantage
- Advanced SQL skills
- Hands-on experience with dbt, including models, tests and documentation
- Intermediate to advanced dimensional modeling, including fact tables, dimensions, grain and star schemas
- Intermediate Power BI and DAX skills, including data modeling and report-performance optimization
- Experience with Git-based version control and collaborative development practices
- Working knowledge of data quality, metadata and lineage concepts
- Experience with Databricks SQL and Unity Catalog
- Experience with a semantic layer or metric framework such as dbt Semantic Layer / MetricFlow
- Knowledge of CI/CD pipelines for analytics engineering
- Experience with data contracts and cross-domain metric governance
- Knowledge of Microsoft Fabric or cloud data platforms
- Experience supporting self-service analytics and user enablement
What Powers Your PerformanceSuccess in this role is driven by a strong mix of personal ownership, collaboration, and continuous improvement. We value team members who possess:
- 2+ years of experience in analytics engineering, business intelligence, data modeling or a closely related role
- 2+ years of experience delivering analytics products in collaboration with data engineering and business stakeholders
- 2+ years of experience working with governed datasets, reusable metrics and dashboard solutions in a corporate environment
- Ownership and accountability for reliable, reusable data products
- Strong collaboration between business and technology teams
- Clear communication of technical concepts to non-technical stakeholders
- Analytical thinking and structured problem solving
- Attention to data quality, documentation and detail
- Continuous-improvement mindset and willingness to challenge the status quo constructively
- Ability to work in a global, cross-functional and multicultural environment
How We Support Your SuccessWe're committed to helping you thrive on the job and beyond. That's why we offer a collaborative culture where your ideas drive real change, and career mobility within a stable, essential industry. To support your growth and well-being, we also provide a comprehensive and competitive benefits program, including:
- Medical, Dental, and Vision Coverage
- Company-Paid Life Insurance & Short/Long-Term Disability
- Profit Sharing: Up to 4%
- 401(k): Company match 4.5% with no vesting period
- Paid Parental Leave
- Paid Holidays: 10 days plus 1 floating holiday
- Paid Vacation Time
- Performance-Based Bonus Program
- Tuition Reimbursement
Safety isn't negotiable, it's who we are. Every spark, every shift, and every decision is guided by a commitment that goes well beyond compliance. Protecting our people is more than a priority, it's a promise we make to every colleague, every day.
