Data Engineer

Key Responsibilities

• Design, build, and maintain scalable analytics data models within Snowflake and dbt
• Develop and maintain trusted single-source-of-truth datasets and business-facing data products
• Implement robust testing, documentation, and governance standards across the analytics layer
• Collaborate with business analysts and stakeholders to understand reporting and analytics requirements
• Work closely with integration engineers and platform teams to onboard and model new data sources
• Manage and optimize ingestion/activation workflows using platforms such as Fivetran and Hightouch
• Support Tableau semantic layer design and reporting performance optimization
• Ensure data quality, lineage, consistency, and reliability across business domains
• Contribute to data warehouse architecture, scalability, and performance improvements
• Help establish engineering best practices including CI/CD, code reviews, observability, and version control
• Support data governance initiatives including KPI standardization and metric consistency
• Assist with data migrations, source onboarding, and modernization initiatives

Key Skills & Experience

• Experience in analytics engineering, data engineering, or modern BI engineering roles
• Strong hands-on experience with Snowflake
• Advanced dbt experience including modular modelling, testing, documentation, and deployments
• Strong SQL skills with experience optimizing large-scale analytical workloads
• Experience building dimensional models and business-friendly semantic layers
• Experience with Tableau including supporting scalable reporting and dashboard development
• Hands-on experience with ingestion and activation platforms such as Fivetran and Hightouch
• Strong understanding of ELT pipelines, orchestration, and modern data stack architecture
• Experience implementing data quality frameworks and automated testing
• Familiarity with Git-based workflows and software engineering best practices

Tools and Technology Environment

• Snowflake
• dbt
• Tableau
• Fivetran
• Hightouch
• Modern ELT and cloud data warehouse tooling
• Git/CI-CD workflows

Communication & Leadership

• Excellent stakeholder management across business and technical audiences.
• Strong communication skills and ability to collaborate across technical and business teams

Essential

• Ideally 4+ years' experience in analytics engineering, data engineering, or modern BI engineering roles
• Experience scaling greenfield or rapidly growing data warehouse environments
• Experience with customer data platforms, marketing data, or Salesforce ecosystems
• Exposure to orchestration tools such as Airflow or Dagster
• Experience designing governed metric layers and centralized KPI frameworks
• Experience with cloud-native data platform performance optimization and cost management
• Exposure to data observability or lineage tooling