At a Glance
- Tasks: Build and enhance data platforms using Microsoft Fabric and modern development practices.
- Company: Join 360insights, a leader in partner ecosystem engagement and analytics.
- Benefits: Competitive salary, mentorship, and opportunities for professional growth.
- Other info: Dynamic team culture focused on innovation and continuous learning.
- Why this job: Combine tech skills with creativity to drive impactful data solutions.
- Qualifications: 2-5 years in Data Engineering or related fields; experience with cloud platforms.
The predicted salary is between 93500 - 108500 $ per year.
The Data Platform Engineer is a hands‑on, mid‑level role responsible for building, maintaining, and enhancing 360insights' Microsoft Fabric data platform.
Reporting to the Head of Data Platform, this position contributes to the delivery of reliable, scalable analytics solutions that support business reporting, operational insights, and client‑facing reporting needs.
The role spans the full data lifecycle, including data ingestion, transformation, pipeline development, platform operations, documentation, Power BI development, and reporting modernization.
Working within an AI‑assisted engineering environment, the successful candidate will leverage modern development practices, automated workflows, and data platform technologies to improve reporting reliability, efficiency, and scalability.
This role is ideal for someone who enjoys combining technical problem‑solving, data engineering, and business intelligence development while taking ownership of assigned data assets and contributing to platform evolution.
What you'll do
- Data Engineering & Lakehouse Development
- Build and maintain data transformation processes within Microsoft Fabric using Py Spark notebooks and Dataflow Gen2.
- Develop and support bronze, silver, and gold data models following established architecture and modeling standards.
- Implement incremental loading strategies, data quality validations, change data capture (CDC), watermarking, and Delta MERGE patterns.
- Analyze and validate transformed data against legacy reporting sources and document findings.
- Pipeline Operations & Platform Reliability
- Monitor and support data pipelines, lakehouses, semantic models, and platform processes.
- Investigate failures, identify root causes, and implement corrective and preventative solutions.
- Manage assigned workspace access, gateways, data connections, and related platform configurations.
- Monitor platform utilization, identify performance bottlenecks, and recommend improvements.
- Maintain platform monitoring and inventory solutions that track operational health and assets.
- Develop and maintain Power BI semantic models, dashboards, and reports.
- Create and validate DAX measures using established standards and best practices.
- Partner with stakeholders to gather reporting requirements and validate business outcomes.
- Develop and support custom internal and client‑facing reports using governed Fabric data.
- Assist with the migration of legacy SSIS and Team City reporting workflows to Microsoft Fabric.
- Build and maintain automated report generation and distribution processes.
- Documentation & Governance
- Maintain accurate documentation for data structures, transformations, and business rules.
- Contribute updates through established documentation and review processes.
- Ensure schema references, wiki content, and platform documentation remain current and accurate.
- Support documentation audits and resolve gaps, inconsistencies, or outdated information.
- Participate in design discussions and recommend platform enhancements.
- Follow established AI‑assisted engineering and review workflows.
- Use AI‑supported development tools to improve solution quality and productivity while validating outputs independently.
- Collaborate with data, reporting, and business stakeholders to support operational and strategic objectives.
- What you'll bring
- 2-5 years of experience in Data Engineering, Analytics Engineering, Business Intelligence, or a related discipline.
- Experience working with modern cloud data platforms such as Microsoft Fabric, Databricks, Synapse, or Snowflake.
- Experience building and supporting production data pipelines and data transformation processes.
- Experience using Git‑based development workflows, including branching, pull requests, and code reviews.
- Experience working with AI‑assisted development tools and willingness to adopt AI‑enabled workflows.
- Technical Skills
- Window functions
- Query optimization and performance analysis
- Proficiency in Python and experience with Py Spark or similar data transformation frameworks.
- Knowledge of data warehousing, data modeling, and ETL/ELT best practices.
• Experience implementing
- Change Data Capture (CDC)
- Delta Lake or similar technologies
- Semantic modeling
- Report and dashboard creation
- Professional Skills
- Strong analytical and problem‑solving abilities.
- Ability to independently investigate issues and validate solutions using evidence and data.
- Strong attention to detail and commitment to documentation.
- Ability to balance independent ownership with appropriate escalation and collaboration.
- Effective communication and stakeholder management skills.
- Continuous learning mindset and adaptability to new technologies and ways of working.
- Preferred Qualifications
- Microsoft DP-600 or DP-700 certification.
- Experience with Delta Lake and medallion architecture.
- Experience with SQL Server, My SQL, or Amazon Redshift.
- Familiarity with Markdown‑based documentation or docs‑as‑code practices.
- Experience supporting incentive, rebate, or loyalty program data environments.
- Experience with Power BI Paginated Reports, SSIS, Team City, custom report generation, or automated report distribution workflows.
- AI Fluency
- Comfortable using AI‑supported development tools to improve productivity and quality.
- Able to guide AI tools effectively, review generated outputs critically, identify errors, and validate results independently.
- About 360insights
360insights orchestrates how brands engage and grow their complex partner ecosystems.
Our unified platform brings together streamlined experiences, incentives, and services so brands can coordinate go‑to‑market efforts with clarity, consistency, and control.
Built for organizations with indirect channels and complex global incentive programs, we are trusted by leading brands worldwide.
We believe in “Experiences that create growth.
Growth that creates experiences.” Through learning and development programs and mentorship, we provide the support, tools, and opportunities you need to grow and succeed as an Insighter.
We welcome talent from all backgrounds and are committed to equal opportunity regardless of race, religion, ethnicity, age, disability, sexual orientation, or gender identity.
Accommodations are available throughout the hiring process upon request.
Learn more about our DEIB vision on our website.
The pay range for this role is
- 93,500 - 108,500 CAD per year (Whitby, Canada)
- #J-18808-Ljbffr
Platform Data Engineer in Whitby employer: Rippling
Rippling is an exceptional employer that fosters a dynamic and innovative work culture in the heart of Seattle. With a focus on employee growth, you will have the opportunity to mentor senior engineers while working on high-impact projects that handle billions in transactions annually. The company's commitment to collaboration across departments ensures a rewarding environment where your contributions directly influence the success of the Money Movement & Treasury hub.
