We are looking for a Senior Data Engineer to serve as a technical leader within our Analytics Engineering team. In this role, you will design and build scalable data platforms and high-impact data products that power critical business decisions, analytics, and machine learning use cases.
You will work cross-functionally with engineering, product, data science, and business teams to deliver reliable, high-quality data solutions while setting standards and best practices across the organization.
- Design, build, and maintain scalable data pipelines and data products
- Architect robust data models and transformation frameworks
- Lead end-to-end data platform initiatives (design → development → deployment)
- Define and implement best practices for data quality, testing, and observability
- Collaborate with cross-functional teams to gather requirements and deliver solutions
- Optimize data systems for performance, scalability, and cost-efficiency
- Mentor engineers and contribute to team-wide technical standards
- Drive adoption of modern data tools and frameworks
- Build reusable components and improve overall platform efficiency
- 5+ years of experience in Data Engineering or Analytics Engineering
- Strong expertise in SQL and Python
- Experience building and maintaining large-scale data pipelines
- Hands-on experience with:
- Cloud platforms (AWS, GCP, or Azure)
- Data warehouses (Snowflake, BigQuery, Redshift)
- Data transformation tools (dbt or similar)
- Workflow orchestration tools (Airflow, Dagster, etc.)
- Strong understanding of data modeling, ETL/ELT, and data architecture
- Experience with CI/CD and DevOps practices for data systems
- Ability to lead complex projects and work across teams
- Strong communication skills (technical + non-technical)
- Experience supporting machine learning workflows
- Knowledge of data governance and data quality frameworks
- Experience with cost optimization (FinOps)
- Background working in startup or high-growth environments
- Experience building internal data platforms or shared infrastructure
- Strong problem-solving and system design skills
- Passion for building scalable and maintainable systems
- Ability to work with ambiguity and drive clarity
- Leadership mindset with a focus on mentoring and collaboration
- Continuous improvement mindset with attention to quality and performance
- Experience with real-time data processing
- Exposure to data observability tools
- Experience designing semantic layers or metrics layers