Lead Data Analytics Engineer

• Set architectural strategy for data modeling, transformation, ingestion, and data products, and guide engineering best practices across teams
• Lead analytics engineering by designing high-quality Snowflake/dbt models, establishing governance and testing standards, and mentoring engineers in scalable modeling and system design
• Build and evolve data pipelines using Python, Spark, APIs, connector frameworks, and other ingestion technologies, introducing automation, observability, and resilient design patterns
• Collaborate cross-functionally with product, engineering, and data science to shape impactful, scalable solutions
• Drive future advanced analytics and ML capabilities by defining feature pipelines, supporting classical ML models, and enabling new AI-driven workloads including LLM-based and hybrid ML/AI architectures

• Bachelor’s degree in a STEM field or equivalent experience
• Extensive hands-on experience as a senior IC in data engineering, analytics engineering, or data architecture (typically 8+ years)
• Expert-level SQL and data modeling skills on large-scale platforms (Snowflake preferred)
• Strong experience building production data pipelines and models using Python, cloud services, and modern data stack tools
• Proficiency with dbt or similar transformation frameworks
• Demonstrated ability to set technical direction, define architectural patterns, and establish engineering best practices
• Solid experience with Git/GitHub workflows, including branching strategies and collaborative development
• Experience building and maintaining CI/CD pipelines in GitHub Actions, including automated testing and secure deployments
• Ability to operate across both analytics engineering and data engineering responsibilities
• Experience with cloud platforms such as AWS or GCP

• Experience with Dagster, Airflow, or similar orchestration tools
• Familiarity with streaming or event-based processing (Kafka, Fink, Kinesis)
• Familiarity with IaC such as Terraform
• Experience supporting ML/AI workflows or integrating ML into data products
• Master’s degree in a STEM field
• Prior experience as a Staff or Senior Staff-level engineer

comprehensive medical, vision, dental, and life, AD&D, short-term and long-term disability insurance, sleep care management, Health Savings Account (HSA), Flexible Spending Account (FSA), commuter benefits, 401(k), Employee Stock Purchase Plan (ESPP), Employee Assistance Program (EAP), tuition assistance, flexible time off (FTO), 11 paid holidays plus 3 floating days, eligible for 14 weeks of primary caregiver or two weeks of secondary caregiver leave