Related skills
datadog aws python dbt airflowπ Description
- Lead architecture and development of scalable data platforms on AWS.
- Architect and optimize Data Warehouse for analytics, operational, and AI workloads.
- Define and implement Infrastructure-as-Code standards using AWS CDK.
- Design and operate scalable orchestration frameworks using Airflow and FiveTran.
- Partner with Data Analytics to establish data modeling standards using dbt.
- Build reusable, maintainable data pipelines and workflows for rapid development.
π― Requirements
- 8β10+ years building large-scale data platforms on AWS.
- Proven track record leading complex initiatives and influencing architecture.
- Strong software engineering fundamentals; production-grade systems.
- Deep expertise in modern data warehousing and ELT/ETL design.
- Experience with reliability, observability, data quality, cost optimization.
- Ability to leverage AI-assisted and agentic development tools.
- Experience partnering with data scientists, analysts, and engineers.
π Benefits
- Generous equity packages synced to position level.
- 401K with up to 4% employer match.
- Medical, dental, and vision coverage, zero-cost plans.
- Employer-paid short/long disability and life insurance.
- Generous time off, mental health benefits, wellness program.
- Discount program.
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