Analytics Engineer for Narvar focused on building data infrastructure and enabling internal analytics. Collaborating with stakeholders to deliver metrics, models, and self - serve analytics solutions.
About the role
- Senior Analytics Engineer at Cority overseeing data platform and analytics team. Driving architectural standards and technical integration for an award-winning EHS+ platform.
Responsibilities
- Lead the design and implementation of a scalable Medallion architecture (Bronze, Silver, Gold), defining ingestion, transformation, and serving layer standards to ensure data quality and reliability across all domains.
- Act as the primary technical liaison between data and business teams, translating ambiguous requirements from Marketing, Sales, Finance, and Operations into well-scoped, scalable data solutions.
- Develop robust data models to identify data gaps and establish analytical layers, including standardized metrics, dimensions, and business logic.
- Design, develop, and maintain end-to-end data transformation pipelines using tools such as Fivetran and dbt.
- Ingest data from application DBs, event streams, and APIs into a centralized Snowflake data warehouse.
- Optimize storage and query performance, including tuning schemas and SQL for large-scale datasets.
- Implement best practices for data quality, monitoring, and observability through tests, alerts, and lineage.
- Collaborate with Business Analysts to maintain and troubleshoot data models to ensure analytical needs are met.
- Drive the documentation of data schemas, pipeline architecture, and runbooks.
Requirements
- 7+ years of experience as a Senior Analytics Engineer or Senior Data Engineer building pipelines, developing data models, and improving BI infrastructure, ideally at a SaaS company.
- Expert-level knowledge of SQL and Python.
- Expert-level knowledge in Snowflake, Azure, Fivetran, and dbt.
- Hands-on expertise with at least one orchestration framework such as Airflow, Prefect, or Dagster.
- Solid understanding of data modeling concepts, specifically star schemas and normalized vs. denormalized structures.
- Proven experience designing and leading the implementation of a Medallion (Bronze/Silver/Gold) architecture, with a deep understanding of layered data transformation patterns and best practices for building scalable, maintainable data platforms.
- Experience building ELT/ETL workflows and integrating APIs or webhooks.
- Proven ability to translate ambiguous business questions into structured analyses.
- Excellent communication skills with the ability to articulate technical problems to non-technical audiences.
- Comfortable working in an agile environment.
- Bachelor's Degree in Engineering, Computer Science, or equivalent.
Benefits
- An opportunity to work in a values-driven, performance-oriented, dynamic and growth-focused culture
- We support a remote working environment with a one-time home office allowance and subsidized monthly internet allowance
- Competitive health benefits, dental plans, and retirement savings plan (RRSP, 401K plan etc.)
- Annual fitness allowance
- Mental health support provided through access to Calm Premium meditation app and access to Talkspace
- Access to Udemy, internal training programs, annual training allowance and certifications (if applicable), and High Talent Programs
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Analytics Engineer developing data environments using modern technologies for clients at Cuesta Partners. Collaborating on solutions and supporting data - driven business decisions.
Senior Analytics Engineer at Forward Financing designing and optimizing data architecture and models. Collaborating with cross - functional teams to deliver AI - ready data insights.
Lead Analytics Engineer leading technical initiatives in a financial technology company focused on AI - ready data insights. Collaborating across teams to enhance the data ecosystem while mentoring engineers.
Manager of Analytics Engineering at fintech company optimizing data infrastructure for trusted AI insights. Overseeing a team to build centralized data foundation and support various business functions.
Support Engineer responsible for operational support of data analytics and cloud technologies at Sun Life Financial. Collaborate with project teams to enhance and maintain data processes.
Data & Analytics Intern/Co - op at Kinaxis modernizing data ecosystems and developing data solutions. Gain hands - on experience in data integration, engineering, modeling, and business intelligence.
Senior Analytics Engineer architecting, building, and operating secure data pipelines in AWS cloud. Leading compliance with data governance standards across analytics integrations.
Data Analytics Engineer preparing enterprise data to be AI - ready at Canadian Bank Note Company. Designing semantic layers and enabling advanced analytics, self - service BI, and AI - powered decision - making.
Analytics Engineer responsible for designing, building, and maintaining scalable data pipelines. Contributing to AI - enriched data infrastructure for revenue - focused initiatives across various teams at Meltwater.