Senior Data Platform Engineer
United States of America
Full Time
1 hour ago
$106,000 - $149,000 USD
No H1B
Key skills
Data platform engineeringData streamingChange Data Capture (CDC)Data warehouseData lakeETL/ELT pipelinesCloud-based technologiesData integration pipelinesKafkaStriimOraclePostgreSQLAmazon RedshiftSnowflakeDockerKubernetesTerraformAnsibleSQLPythonDistributed systemsCloud architecturesCI/CD pipelinesETLELTData EngineeringData LakeRedshiftCI/CDCommunicationCollaboration
About this role
PanAgora Asset Management is dedicated to transforming financial lives through a flexible work environment and a commitment to internal mobility. They are seeking a Senior Data Platform Engineer to design, build, and support scalable data platform solutions, collaborating closely with cross-functional teams to implement data integration and platform capabilities.
Responsibilities:
- Design and implement data platform solutions including data streaming, CDC, data warehouse, data lake, and ETL/ELT pipelines using modern cloud-based technologies
- Contribute to the development and adoption of best practices for data platform configuration management, observability, testing, and operational readiness
- Build and support end-to-end data integration pipelines from source systems through Kafka and/or Striim to analytical and operational targets
- Participate in engineering design sessions and code reviews for complex data solutions across multiple systems and platforms
- Troubleshoot and resolve production issues related to data platform performance, scalability, and reliability
- Collaborate with architects, platform engineering, security, and governance teams to align solutions with enterprise standards and data strategy
- Support implementation of operational resilience practices, including monitoring, alerting, and data recovery processes
- Evaluate and help adopt new technologies and tools that improve data platform capabilities
- Contribute to documentation, design artifacts, and engineering standards
- Mentor junior and mid-level engineers and support team development
Requirements:
- Bachelor's degree in computer science or equivalent experience
- 6–9+ years of software or data engineering experience
- Strong hands-on experience building and supporting data platforms in production environments
- Experience with CI/CD pipelines and automation for data platform deployments
- Experience with Oracle, PostgreSQL, Redshift, Snowflake, Kafka (or similar technologies)
- Experience with Docker, Kubernetes, Terraform, Ansible, or similar tools
- Strong competency in SQL and Python
- Solid understanding of distributed systems, cloud architectures, and design patterns
- Strong problem-solving, communication, and collaboration skills