Senior Data Architect
4 weeks ago
We are seeking an experienced Senior Data Engineer to join our team at Raft. As a key member of our data engineering team, you will be responsible for designing, building, and maintaining extract, transform, and load (ETL) pipelines to enable comprehensive data operations, from ingest to query.
You will leverage your in-depth understanding of data architecture, database management, and data processing workflows to ensure efficient and secure handling of our data resources.
Key Responsibilities- Design and implement ETL pipelines for comprehensive data operations
- Develop and maintain data processing workflows using cloud-based systems and AI/Machine Learning Development
- Collaborate with cross-functional teams to ensure data security and compliance
- Stay up-to-date with industry trends and emerging technologies in data engineering
- 10+ years of hands-on data engineering experience
- Extensive experience in designing, building, and managing ETL pipelines
- Experience with cloud-based systems, AI/Machine Learning Development, and data security practices
- Strong understanding of data architecture, database management, and data processing workflows
- Excellent problem-solving abilities and strong analytical skills
- Highly competitive salary
- Fully covered healthcare, dental, and vision coverage
- 401(k) and company match
- Take as you need PTO + 11 paid holidays
- Education & training benefits
- Annual budget for your tech/gadgets needs
- Monthly box of yummy snacks to eat while doing meaningful work
- Remote, hybrid, and flexible work options
- Team off-site in fun places
- Generous Referral Bonuses
Raft is a customer-obsessed non-traditional small business with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. We are committed to innovation and collaboration, and we celebrate each other's unique perspectives and cognitive and cultural diversity.
We are an equal opportunity employer and welcome applications from all qualified candidates without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
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