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
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