Key skills
PythonSQLETLData EngineeringAnalyticsBISnowflakeBigQueryRedshiftAirflowdbtGitVersion ControlSaaSMentoringCommunication
About this role
Harnham is a high-growth SaaS platform focused on streamlining complex business workflows and improving operational efficiency for modern, distributed teams. The role of Senior Analytics Engineer involves building scalable datasets that support decision-making across various teams, while also mentoring junior members and ensuring data accuracy and accessibility.
Responsibilities:
- Design, build, and maintain scalable data models that support analytics and business reporting
- Develop and optimize transformation pipelines using modern data tooling
- Partner with stakeholders to define metrics, ensure data consistency, and improve reporting accuracy
- Contribute to data governance practices, including data quality standards, metadata management, and sensitive data handling
- Improve reliability and performance of data pipelines within a cloud data warehouse environment
- Mentor junior team members and promote best practices in analytics engineering and data modeling
- Support the development of a consistent metrics layer across key business domains (e.g., revenue, customer lifecycle)
- Collaborate cross-functionally with engineering, product, and business teams to deliver high-impact data solutions
Requirements:
- 5+ years of experience in analytics engineering, data engineering, or a similar data-focused role
- Expert-level SQL, including complex queries, CTEs, and window functions
- Strong experience with dbt for building and maintaining transformation workflows
- Hands-on experience with cloud data warehouses (e.g., Snowflake, BigQuery, or Redshift)
- Proficiency in Python for data analysis, scripting, or automation
- Deep understanding of dimensional modeling and data warehouse design patterns
- Experience working with SaaS business metrics (e.g., revenue, churn, lifecycle metrics)
- Familiarity with data orchestration tools (e.g., Airflow or similar)
- Experience with version control (e.g., Git-based workflows)
- Strong communication skills with the ability to translate technical concepts to non-technical stakeholders
- Comfortable working in a fully remote, distributed environment
- Experience with reverse ETL tools
- Exposure to modern BI and analytics tools
- Familiarity with data cataloging and metadata management tools
- Understanding of domain-oriented or decentralized data architecture approaches
- Experience supporting product analytics or experimentation frameworks