The Senior Data Infrastructure Engineer designs, builds, and scales reliable data platforms that power online transaction processing, analytics, machine learning, and business intelligence. This role focuses on architecting robust cloud-native data infrastructure, optimizing performance and cost, and ensuring high availability and security of data systems. The engineer will be part of the cloud data team within engineering operations and will work closely with data, engineering, and product teams while providing technical expertise and mentorship.
ESSENTIAL JOB RESPONSIBILITIES & KEY PERFORMANCE OUTCOMES- 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.
REQUIRED QUALIFICATIONS Required (quantifiable from resume/application):
- 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.
PREFERRED QUALIFICATIONS- 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.
***The US base salary range for this full-time position is:
$125,241.00 - $187,862.00
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. Please note that the compensation details listed in US role postings reflect the base salary only, and does not reflect the value of the total rewards compensation. ***
