TL;DR
Senior Staff Data Engineer (GCP/PostgreSQL): Leading database modernization and migration efforts from on-premise to cloud platforms with an accent on designing scalable data architectures on Google Cloud Platform and optimizing PostgreSQL performance. Focus on building resilient data pipelines, implementing Infrastructure as Code for automation, and ensuring data integrity during complex migrations.
Location: Hybrid in Chicago, US
Salary: $135,000–$225,000
Company
hirify.global is the world’s leading derivatives marketplace, enabling career growth by shaping global markets.
What you will do
- Design robust, scalable, and cost-effective data architectures on Google Cloud Platform, focusing on Cloud SQL, AlloyDB, and Bigtable.
- Lead performance tuning and optimization for PostgreSQL, resolving complex issues from legacy Oracle Exadata environments.
- Build and maintain resilient, cloud-native data pipelines (ETL/ELT) using Python and GCP services like Dataflow, BigQuery, and Pub/Sub.
- Develop and implement automation for performance monitoring, remediation, and infrastructure management using Python and Terraform.
- Guide the technical execution of migrating large, complex databases from Oracle to PostgreSQL on GCP.
- Mentor development and data reliability teams on PostgreSQL and GCP best practices.
Requirements
- 7-10 years of professional experience in a data engineering or database specialist role with production-grade cloud data systems.
- Deep, hands-on expertise with Google Cloud Platform (GCP), including BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud SQL, and AlloyDB.
- 6+ years of advanced Python development experience for data processing, automation, and ETL/ELT pipelines.
- Expert-level knowledge of PostgreSQL internals and performance tuning, with proven experience migrating large Oracle databases to PostgreSQL.
- Demonstrable experience building CI/CD pipelines (e.g., GitLab CI, Jenkins) and managing Infrastructure as Code (IaC) with Terraform.
- English: B2+ required.
Nice to have
- Experience with data orchestration tools such as Apache Airflow or Cloud Composer.
- Experience with other GCP data services like Bigtable and Memory Store (Redis).
- Familiarity with enterprise database monitoring and administration tools (e.g., IDERA, SCOM, Oracle OEM).
- Understanding of data privacy and compliance standards (e.g., HIPAA, GDPR).
Culture & Benefits
- Competitive total rewards package including an annual target bonus opportunity and broad-based equity program.
- Comprehensive health coverage, a retirement package with 401(k) and an active pension plan, and education reimbursement provisions.
- Paid time off and a mental health benefit.
- Embrace unique experiences and skills, committed to equal-opportunity employment.
- Work alongside a team of leading experts who inspire continuous growth and impact global markets.
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