Note: The job is a remote job and is open to candidates in USA. Lyric is a healthcare decision intelligence company that combines responsible AI with clinical, payment, regulatory, and policy expertise. The Senior Data Infrastructure Engineer designs, builds, and scales reliable cloud-native data platforms on AWS for transaction processing, analytics, machine learning, and business intelligence while optimizing performance, cost, availability, and security. The role also partners with cross-functional teams, troubleshoots production issues, contributes to technical standards, and mentors junior engineers.

Responsibilities

• Design, build, and maintain scalable data infrastructure on AWS using technologies such as Aurora PostgreSQL, RDS, S3, and Snowflake
• Implement and operate core data systems across ingestion, transformation, storage, and orchestration layers
• Ensure high levels of reliability, performance, availability, and cost efficiency of data platforms and environments
• Apply and promote best practices in data modeling, observability, infrastructure as code (IaC), and CI/CD automation
• Support and scale distributed data systems (e.g., PostgreSQL/Aurora, Snowflake, Kafka, caching) across environments
• Partner with application, analytics, and AI teams to enable efficient and self-service data access and usage
• Participate in design reviews, contribute to technical standards, and mentor junior engineers
• Troubleshoot production issues and drive continuous improvements in data platform operations
• Support operational excellence by participating in on-call rotations and off-hours incident response when required

Skills

• Applicants must already be legally authorized to work in the U.S
• Minimum of five (5) years of experience in Cloud based Data Infrastructure, Database Engineering, or related roles
• Minimum of five (5) years of hands-on experience with AWS Data Services (Aurora, RDS, S3, IAM, Lambda, Glue, Athena etc.)
• Strong experience with PostgreSQL/Aurora and Snowflake or similar modern data platforms
• Proficiency in SQL and scripting or programming languages (Python, Shell, etc.)
• Hands-on experience using Terraform and GitLab to build and operate CI/CD pipelines for data infrastructure automation
• Demonstrated experience optimizing database performance and operating high-throughput data systems
• Experience with real-time or streaming data platforms (Kafka, Databricks)
• Exposure to data governance, lineage, and compliance frameworks (HIPAA, SOC2)
• Familiarity with analytics workflow using orchestration tools (Airflow, dbt)
• Experience supporting database migrations from Oracle RDS to modern data stores (Aurora PostgreSQL, Snowflake)
• Exposure to OpenSearch, Cassandra, or other distributed data systems
• Familiarity with GCP or Azure in addition to AWS
• Strong communication skills and ability to collaborate across technical and non-technical teams
• Prior experience in healthcare or regulated industries is a plus

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