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Position: AWS Data Architect / Engineer
Location: Chicago, IL or Battle Creek, MI Hybrid
Job Type: Long Term Contract
We are seeking a highly skilled Architect / Senior Data Engineer to design, build, and optimize our modern data ecosystem. The ideal candidate will have deep experience with AWS cloud services, Snowflake, and DBT, along with a strong understanding of scalable data architecture, ETL/ELT development, and data modeling best practices.
Responsibilities:
• Architect, design, and implement scalable, reliable, and secure data solutions using AWS, Snowflake, and DBT.
• Develop end-to-end data pipelines (batch and streaming) to support analytics, machine learning, and business intelligence needs.
• Lead the modernization and migration of legacy data systems to cloud-native architectures.
• Define and enforce data engineering best practices including coding standards, CI/CD, testing, and monitoring.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into technical solutions.
• Optimize Snowflake performance through query tuning, warehouse sizing, and cost management.
• Establish and maintain data governance, security, and compliance standards across the data platform.
• Mentor and guide junior data engineers, providing technical leadership and direction.
Required Skills & Qualifications:
• 8+ years of experience in Data Engineering, with at least 3+ years in a cloud-native data environment.
• Hands-on expertise in AWS services such as S3, Glue, Lambda, Step Functions, Redshift, and IAM.
• Strong experience with Snowflake data modeling, warehouse design, performance optimization, and cost governance.
• Proven experience with DBT (data build tool) model development, documentation, and deployment automation.
• Proficient in SQL, Python, and ETL/ELT pipeline development.
• Experience with CI/CD pipelines, version control (Git), and workflow orchestration tools (Airflow, Dagster, Prefect, etc.).
• Familiarity with data governance and security best practices, including role-based access control and data masking.
• Strong understanding of data modeling techniques (Kimball, Data Vault, etc.) and data architecture principles.
Preferred Qualifications:
• AWS Certification (e.g., AWS Certified Data Analytics Specialty, Solutions Architect).
• Strong communication and collaboration skills, with a track record of working in agile environments.
