Data Platform Engineer

We are seeking a Data Platform Engineer to architect, build, and support the AWS infrastructure that powers our enterprise analytics ecosystem.

This is a hands-on data engineering and cloud infrastructure role, focused on designing and maintaining scalable, reliable data pipelines and warehouse architecture. You will partner closely with the Manager of Business Intelligence & Data, who owns reporting and analytics requirements, while you own the underlying platform, data movement, orchestration, and performance.

If you enjoy building cloud-native data platforms, solving infrastructure challenges, and creating reliable data pipelines, we'd love to connect with you.

Responsibilities

Data Platform Architecture

• Design, build, and maintain an AWS-based analytics platform supporting enterprise reporting and data initiatives.
• Own the data warehouse environment utilizing Amazon Redshift.
• Develop and optimize data pipelines, orchestration workflows, and transformation processes using dbt, AWS Lambda, and Python.
• Build and manage AWS services including:
• Amazon S3
• AWS Glue
• AWS Step Functions
• IAM
• CloudWatch
• Ensure platform scalability, reliability, security, and cost efficiency.

Data Pipeline Operations & Reliability

• Monitor pipeline health, system performance, and operational metrics.
• Develop alerting and observability solutions using CloudWatch and related AWS services.
• Troubleshoot and resolve pipeline failures, performance bottlenecks, and infrastructure issues.
• Support ingestion and loading of Oracle Hyperion accounting data into the data warehouse environment.
• Maintain technical documentation, operational runbooks, and data flow diagrams.

Collaboration & Continuous Improvement

• Translate analytics and reporting requirements into scalable technical solutions.
• Optimize data models, warehouse performance, and query execution where needed.
• Recommend new technologies, AWS services, and automation opportunities to improve platform capabilities and operational efficiency.

Qualifications

• 5+ years of experience in Data Engineering, Data Platform Engineering, Cloud Engineering, or related fields.
• Strong hands-on experience with:
• Amazon Redshift
• dbt
• AWS Lambda
• Python
• Experience building and supporting ETL/ELT pipelines and modern data warehouse environments.
• Expertise with AWS services such as S3, Glue, IAM, Step Functions, and CloudWatch.
• Strong understanding of:
• Data warehousing concepts
• Pipeline orchestration
• Data architecture best practices
• Cloud security and IAM permissions
• Performance tuning and cost optimization
• Experience monitoring production environments and responding to incidents.

Preferred Qualifications

• Experience with Infrastructure-as-Code tools such as Terraform or CloudFormation.
• Experience with Git and modern CI/CD processes.
• Knowledge of query optimization and data model performance tuning.
• Exposure to Power BI or other business intelligence tools.
• Experience supporting finance or ERP-related data sources, including Oracle Hyperion.