ResponsibilitiesTechnical Leadership & Architecture

- Own the architecture and roadmap for the Snowflake data platform, ingestion pipelines, and reporting infrastructure.
- Set technical standards for data modeling, schema design, query patterns, testing, and observability across the data team.
- Lead design reviews and make build-vs-buy calls on tooling (ELT platforms, orchestration, BI, replication).
- Drive multi-quarter initiatives such as warehouse migrations, schema redesigns, and reporting platform consolidations.

Hands-On Data Engineering
- Design and build scalable ELT/ETL pipelines using Python, SQL, Airbyte, and similar tools - including ingestion from external partner data sources (e.g., third-party catalog/match providers) and internal product databases.
- Build and maintain reporting suites delivered via internal tooling, scheduled jobs, and email
- Tune Snowflake performance and spend: warehouse sizing, clustering, caching, query rewrites, and storage management.
- Own the operational health of business-critical dashboards - including cache strategy, latency targets, and incident response on Highest-priority data issues.

- Establish SLAs and monitoring for pipelines and dashboards; lead root-cause investigation for data-quality and freshness incidents.

- Partner with backend engineering on application-to-warehouse integration and event/data contract design.

- Operate and evolve data workloads on AWS (S3, Lambda, RDS, IAM) and integrate with the broader application infrastructure.

Required Qualifications




- 5+ years of experience in Software Engineering / Data Engineering, with at least 2 years in a senior, tech-lead, or staff-equivalent capacity owning a data platform or major data domain.
- Deep, production-level expertise with data platforms - including schema design, performance tuning, RBAC, cost optimization, and operational practices (credential rotation, replication, recovery).
- Expert-level Python and SQL for production pipelines, transformations, and tooling.
- Strong track record designing and operating ELT/ETL systems (Airbyte, Fivetran, dbt, custom Python - any equivalent stack).
- Experience building reporting and analytics products end-to-end: ingestion → modeling → delivery (BI, embedded dashboards, scheduled email, internal tools).
- Solid AWS experience (S3, Lambda, RDS, IAM) and familiarity with infrastructure-as-code and CI/CD for data workloads.
- Demonstrated ability to lead technical initiatives that span multiple teams and quarters.
- Excellent communication - comfortable presenting trade-offs to engineering leadership and translating business asks into technical scope.

Why Work at Cut+Dry
- Results-driven company culture that encourages a balanced lifestyle.
- Flexible remote working environment.
- Above-market remuneration, based on experience and skill level, paid in USD.
- Work on cutting-edge platform problems - the kind that meaningfully improves the life of every engineer on the team - in a collaborative and cutting-edge setting.

📌 Technical Lead (Kolamba)
🏢 Cut+Dry
📍 Kolamba