Jobgether is looking for a Principal Data Engineer to lead the development and evolution of a high-performance, large-scale data ecosystem in a fast-growing fintech environment. The role aims to ensure reliable, scalable, and efficient processing of high volumes of data, driving business-critical insights.
Requirements
- Expert-level knowledge of AWS Redshift or similar platforms, including performance tuning, table design, and workload management.
- Hands-on experience with ETL/ELT frameworks such as DBT, AWS DMS, or equivalent tools.
- Strong SQL skills and proficiency in at least one programming language (Python, Scala, or Java).
- Experience building and maintaining AWS-based data platforms, including S3, Lambda, Glue, and EMR.
- Proven experience designing scalable, fault-tolerant pipelines processing 100GB–1TB of data per day.
- Deep understanding of data modeling, distributed systems, and data warehouse/lake design patterns.
- Preferred: experience in high-growth, data-intensive fintech, lakehouse architectures (Snowflake, Databricks, Iceberg, Delta Lake), streaming technologies (Kafka, Kinesis, Flink), machine learning pipelines, or infrastructure as code (Terraform, CloudFormation).
Responsibilities
- Own end-to-end design, development, and optimization of data warehousing infrastructure, KPIs, and SLAs.
- Architect, build, and maintain large-scale, high-performance data pipelines to support analytics, product insights, and operational workflows.
- Lead ETL/ELT development using Redshift, DBT, AWS DMS, and other modern data tools.
- Evaluate, integrate, and guide the adoption of new technologies to evolve the data ecosystem.
- Optimize warehouse performance through query tuning, data modeling improvements, and cost management.
- Mentor and provide technical guidance to other engineers, fostering best practices in data engineering and architecture.
- Collaborate with cross-functional teams (engineering, analytics, product, finance, risk) to gather requirements and deliver robust, high-quality datasets.
Other
- 10+ years of experience in data engineering, building and scaling production-grade systems.
- Ability to work in a fast-paced, collaborative environment with strong communication and documentation skills.
- Opportunity to contribute to a rapidly scaling fintech company and influence the evolution of its data platform.
- Collaborative, inclusive work environment with motivated, driven team members.
- Unlimited PTO, volunteer hours, and sabbatical opportunities.
