Lead Analytics Engineer

Bachelor's degree in Computer Science, Data Science, related field, or equivalent experience 7+ years in data engineering or analytics engineering 1+ years in senior-level roles with leadership and cross-team responsibilities Experience in cloud-native environments (BigQuery, Snowflake, Redshift, or similar) Expert in SQL, Python, and modern analytics tools (dbt, Fivetran, Airflow, or equivalents) Strong experience in data modeling, ELT/ETL pipelines, and cloud data warehouses Advanced proficiency with Looker or similar BI tools Knowledge of data governance, quality frameworks, and testing methodologies Proven ability to lead technical initiatives and mentor team members Strong problem-solving skills, designing scalable, maintainable architectures Excellent communication with technical and non-technical audiences Comfortable navigating ambiguity and driving decisions Experience in influencing senior stakeholders without direct authority

Design, optimize, and scale end-to-end data pipelines and cloud-based infrastructure Own data integration, transformation, and modeling processes Lead implementation of dbt, Looker, and other modern analytics tools Define and enforce standards for data modeling, data governance, lineage, monitoring, and compliance Evaluate emerging technologies and drive architecture decisions Lead complex initiatives spanning multiple teams and business domains Set project direction, ensure timely delivery, and maintain high-quality standards Translate business requirements into robust technical solutions Mentor data analysts and analytics engineers Collaborate with leadership to ensure the data platform aligns with business objectives Identify opportunities to improve efficiency, scalability, and business impact through data Facilitate alignment across technical and non-technical stakeholders Foster knowledge sharing, continuous feedback, and cross-team collaboration