Join a team that powers critical data and analytics capabilities across both on-premises and AWS cloud environments. We are seeking a skilled
Software Engineering Advisor to help modernize and optimize enterprise data platforms that enable trusted, data-driven decisions across the business. In this role, you will combine deep technical expertise with a passion for operational excellence, partnering with architects, analysts, and engineering teams to deliver scalable, high-performing data solutions. The ideal candidate brings strong experience with Teradata, Databricks, AWS, and modern data engineering practices.
Responsibilities- Design, build, and maintain scalable data pipelines that integrate enterprise data from Teradata into Databricks and AWS cloud platforms.
- Drive performance optimization across data processing workloads by improving query efficiency, database structures, and data loading strategies.
- Develop and support ETL solutions using Informatica and related technologies to ensure reliable data movement and transformation.
- Partner with data architects, analysts, data stewards, and business stakeholders to deliver accurate, accessible, and trusted data assets.
- Monitor, troubleshoot, and resolve data pipeline issues to improve reliability, performance, and data integrity.
- Implement data quality controls, validation frameworks, and monitoring solutions that enhance confidence in enterprise reporting and analytics.
- Contribute to capacity planning, security initiatives, and platform performance improvements across the data ecosystem.
- Document technical solutions, architecture decisions, and operational processes to support long-term maintainability.
- Collaborate within Agile teams to deliver high-quality solutions while identifying innovative approaches and alternative technical recommendations.
Required Qualifications- 5+ years of experience in software engineering, data engineering, or a related development role.
- 5+ years of hands-on Teradata development experience, including query tuning and performance optimization.
- Advanced SQL skills with experience developing complex queries, stored procedures, and database objects.
- 4+ years of experience building data solutions with Databricks and Apache Spark.
- Experience with AWS services such as S3, Glue, Lambda, EC2, and workflow orchestration tools.
- Experience developing and supporting enterprise ETL processes and data pipelines.
- Proficiency with Python for data engineering and automation.
- Knowledge of data warehousing concepts, large-scale data processing, and data modeling principles.
- Experience with CI/CD practices and tools such as GitHub and Jenkins.
- Strong analytical, troubleshooting, communication, and collaboration skills.
- Experience working within Agile delivery environments.
Preferred Qualifications- Experience migrating or modernizing enterprise data warehouse solutions.
- Familiarity with workflow scheduling and orchestration platforms such as Airflow.
- Experience supporting cloud-based analytics and data platform transformations.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- Experience working in highly regulated or large enterprise environments.
Why Join Us?You will have the opportunity to make a meaningful impact on enterprise data capabilities while working with modern cloud technologies, large-scale data platforms, and talented teams dedicated to innovation, operational excellence, and continuous growth.
If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.
