Overview
On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
Artificial Intelligence
Amazon Redshift
Amazon Web Services
Big Data
Data Governance
Data Modeling
Machine Learning (ML)
Hadoop
Data Engineer
Snowflake
Databricks
AWS Glue
SageMaker
SaaS
Vector Databases
Advanced Analytics
AWS
Job Details
Role: AWS Big Data Architect
Location: Seattle, WA - 5 Days On-Site
Essential Skills:
- Big Data Technologies
- AWS experience AWS Glue, Redshift, SageMaker
- Databricks
- Snowflake
- Building large pipelines
- Experience in data and ML lifecycle
- Include architectural leadership, data modeling, building real-time data pipelines, implementing data governance, optimizing performance, and enabling AI/ML workflows.
Desirable Skills:
- Data Governance: Hands-on experience with implementing data governance frameworks, compliance, and security standards.
- Leadership: Demonstrated ability to lead teams, mentor junior engineers, and work in cross-functional environments.
- Experience with vector databases/RAG, petabyte-scale data, advanced analytics tools, and industry experience in AI/ML, SaaS, or cloud technology
4. Qualifications:
- 6-8 years as Data Engineer
- Bachelor s degree in computer science, software engineering, or related field (Master's degree is a plus)
- Demonstrates continued learning through one or more technical certifications or related methods
Qualities:
- Self-motivated and focused on delivering outcomes for a fast-growing team and firm
- Able to communicate persuasively through speaking, writing, and client presentations
- Work independently based on the mentorship provided by managers
- Demonstrates problem solving, multi-tasking, troubleshooting skills with a high degree of flexibility
- Able to work with teams and clients in different time zones
- Proven learning agility as technologies and capabilities evolve rapidly
- Strong analytical, troubleshooting, and problem-solving skills.
- Research focused mindset
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