Sr Analytics Engineer

• Medallion Architecture Leadership: 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. • Cross-Functional Collaboration: 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. • Data Modeling: Develop robust data models to identify data gaps and establish analytical layers, including standardized metrics, dimensions, and business logic. • Data Pipeline Management: Design, develop, and maintain end-to-end data transformation pipelines using tools such as Fivetran and dbt. • Infrastructure Optimization: Ingest data from application DBs, event streams, and APIs into a centralized Snowflake data warehouse. • Performance Tuning: Optimize storage and query performance, including tuning schemas and SQL for large-scale datasets. • Quality & Observability: Implement best practices for data quality, monitoring, and observability through tests, alerts, and lineage. • Stakeholder Enablement: Collaborate with Business Analysts to maintain and troubleshoot data models to ensure analytical needs are met. • Documentation: Drive the documentation of data schemas, pipeline architecture, and runbooks. • Professional Experience: 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. • Core Stack: Expert-level knowledge of SQL and Python. • Platform Expertise: Expert-level knowledge in Snowflake, Azure, Fivetran, and dbt. • Orchestration: Hands-on expertise with at least one orchestration framework such as Airflow, Prefect, or Dagster. • Technical Skills: Solid understanding of data modeling concepts, specifically star schemas and normalized vs. denormalized structures. • Medallion Architecture: 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. • Workflow Development: Experience building ELT/ETL workflows and integrating APIs or webhooks. • Analytical Mindset: Proven ability to translate ambiguous business questions into structured analyses. • Soft Skills: Excellent communication skills with the ability to articulate technical problems to non-technical audiences. • Agility: Comfortable working in an agile environment. • Education: Bachelor's Degree in Engineering, Computer Science, or equivalent.