Data Platform Engineer II
Team: Software Engineering & Architecture
Location: Wilmington, DE
Commitment: Full Time, Exempt
Workplace Type: hybrid
Salary:
Duties and Responsibilities:
- Design, build, and deploy data platform components across Snowflake, AWS, and the broader technology stack.
- Architect, implement, and support data capabilities including automations, integrations, interfaces, and underlying infrastructure.
- Develop, maintain, and optimize CI/CD pipelines to ensure reliable and repeatable data delivery.
- Implement and manage monitoring, logging, and alerting frameworks to ensure the availability, quality, and performance of data assets.
- Serve as a data leader, data champion and subject‑matter expert for engineering, product, and business teams, providing mentorship and guidance to junior engineers.
- Collaborate with cross‑functional teams to identify, troubleshoot, and solve complex technical and data‑related challenges.
- Ensure adherence to security, privacy, and compliance standards, including SOC2 and PCI‑DSS.
Required Skills:
- 7+ years of experience in data management and ETL/ELT development, with a strong focus on building high‑quality, scalable data products.
- Advanced proficiency in Python and SQL.
- Hands‑on experience with AWS services such as Lambda, S3, serverless architectures, and containerized workloads (e.g., Docker).
- Strong background in DevOps practices, automation, and modern deployment workflows.
- Experience with configuration management tools
- Proven experience designing, building, and maturing data products and data platform capabilities.
- Experience working across both on‑premises data environments and cloud‑first architectures.
- Excellent analytical and problem‑solving skills.
- Strong communication, collaboration, and leadership abilities.
Recommended Skills:
- Experience with Snowflake
- Experience with Monte Carlo – Observability Tool
- Experience with AWS "serverless" technologies (e.g. lambda, step functions, fargate)
- Knowledge of GitHub products (actions, workspaces, secrets, etc)
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