Staff Data Infastructure Engineer

TBC Corporation

50d

About The Position

Lyric is an AI-first, platform-based healthcare technology company, committed to simplifying the business of care by preventing inaccurate payments and reducing overall waste in the healthcare ecosystem, enabling more efficient use of resources to reduce the cost of care for payers, providers, and patients. Lyric, formerly ClaimsXten, is a market leader with 35 years of pre-pay editing expertise, dedicated teams, and top technology. Lyric is proud to be recognized as 2025 Best in KLAS for Pre-Payment Accuracy and Integrity and is HI-TRUST and SOC2 certified, and a recipient of the 2025 CandE Award for Candidate Experience. . Interested in shaping the future of healthcare with AI? Explore opportunities at lyric.ai/careers and drive innovation with #YouToThePowerOfAI. The Staff Data Infrastructure Engineer will lead the design, evolution, and reliability of Lyric’s cloud-native, multi-region data infrastructure that powers mission-critical applications, analytics, AI, and business operations. This hands-on and strategic role focuses on building scalable, secure, and high-performance data platforms on AWS. This role collaborates across teams - engineers, architects, and data consumers – to define best practices, guide system design, and mentor others, driving the future of Lyric’s data ecosystem. This role on the Cloud Data team functions within Operations at Lyric. The Team powers the organization’s core transactional, analytics and AI data platforms. Our mission is to deliver cutting-edge, reliable, and user-friendly infrastructure for data ingestion, storage, processing, and interaction, enabling teams to build and scale data-intensive applications with ease and confidence.

Requirements

8+ years of experience in Database or Data Infrastructure Engineering, including 5+ years focused on cloud-based data infrastructure.
5+ years of hands-on experience in AWS data environments (Aurora, RDS, S3, IAM, Lambda, Glue, Athena, etc.)
Extensive expertise with PostgeSQL/Aurora, Snowflake, and modern data storage platforms.
Strong proficiency in languages supporting databases (SQL, PL-SQL, Python, Shell scripting, etc.).
Proven ability to troubleshoot and optimize database performance and manage large-scale, high-throughput environments.
5+ years of experience with Terraform and CI/CD pipelines for infrastructure automation.

Nice To Haves

Experience with real-time data platforms (Kafka, Databricks, streaming pipelines).
Exposure to data governance, lineage, and compliance frameworks (HIPAA, SOC2, etc.).
Familiarity with ML or analytics workflows and data orchestration tools (e.g., Airflow, dbt).
Experience with Oracle RDS and migration to modern data stores (Aurora PostgreSQL, Snowflake).
Experience with OpenSearch, Cassandra, or other distributed systems.
Exposure to GCP and Azure as complementary cloud environments.
Excellent problem-solving, communication, and cross-functional collaboration skills.
Prior experience in healthcare or other regulated industries a plus.

Responsibilities

Design, build, and optimize scalable, multi-region data infrastructure on AWS, leveraging technologies such as Aurora PostgreSQL, RDS and Snowflake.
Lead the architecture and implementation of core data systems including ingestion, transformation, storage, and orchestration layers.
Own and improve reliability, performance, and cost efficiency of data stores and their environments.
Drive adoption of best practices in data modeling, observability, infrastructure as code (IaC) and CI/CD automation.
Design and scale distributed data systems (e.g., PostgreSQL/Aurora, Snowflake, Kafka, caching, etc.) across regions.
Collaborate cross-functionally with application, analytics, AI teams to enable self-service data capabilities.
Provide technical leadership, mentoring, and design reviews for other engineers.
Stay current with emerging data and cloud technologies, evaluating AWS, GCP, and Azure innovations for future adoption.

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