Senior Data Engineer
Department: Product Architecture
Reports to: Manager, Data Engineering
Suvoda is seeking a skilled and driven Senior Data Engineer to help evolve our data platform towards a data mesh architecture. In this role, you’ll design and build domain-oriented data products exposed via GraphQL APIs and support near real-time reporting through AWS DMS replication to Aurora PostgreSQL.
You’ll work on building and optimizing ETL/ELT pipelines using AWS Glue and PySpark, ensuring scalable, high-performance data processing across our platform.
Responsibilities:
- Contribute to the design and implementation of a data mesh architecture using GraphQL APIs to expose domain-owned data products.
- Build and maintain a modern AWS-based data lake using S3, Glue, Lake Formation, Athena, and Redshift.
- Develop and optimize ETL/ELT pipelines using AWS Glue and PySpark to support batch and streaming data workloads.
- Implement AWS DMS pipelines to replicate data into Aurora PostgreSQL for near real-time analytics and reporting.
- Support data governance, quality, observability, and API design best practices.
- Collaborate with product, engineering, and analytics teams to deliver robust, reusable data solutions.
- Contribute to automation and CI/CD practices for data infrastructure and pipelines.
- Stay current with emerging technologies and industry trends to help evolve the platform.
Requirements:
- Bachelor’s degree in a technical field such as Computer Science or Mathematics.
- At least 5 years of experience in data engineering, with demonstrated ownership of complex data systems.
- Experience working with GraphQL APIs for data access.
- Strong expertise in AWS Glue and PySpark for scalable ETL/ELT development.
- Solid experience with AWS data lake technologies (S3, Glue, Lake Formation, Athena, Redshift).
- Hands-on experience with AWS DMS and Aurora PostgreSQL for real-time data replication.
- Understanding of data mesh principles and decentralized data architecture.
- Proficiency in Python, SQL, and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
- Experience with data modeling, orchestration tools (e.g., Airflow), and CI/CD pipelines.
- Strong communication and collaboration skills.
Preferred Qualifications:
- Master’s degree, especially with a focus on data engineering, distributed systems, or cloud architecture.
- Experience with event-driven architectures (e.g., Kafka, Kinesis).
- Familiarity with data cataloging and metadata management tools.
- Knowledge of data privacy and compliance standards (e.g., GDPR, HIPAA).
- Background in agile development and DevOps practices.
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As set forth in Suvoda’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
If you are based in California, we encourage you to read this important information for California residents linked here.
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What We Do
Suvoda’s sole focus is to offer the industry’s leading SaaS solution for randomization and trial supply management. Suvoda’s Interactive Response Technology (IRT/IWRS) with Trial Intelligence combines the flexibility of a custom solution with the speed of a configurable platform, offering 4-6 week deployment, reimagined reporting, and easy integration.
