Suvoda is seeking a skilled and driven Cloud 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 and support near real-time reporting.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 4 years of experience in data engineering, with demonstrated ownership of complex data systems.
- Solid experience with AWS data lake technologies (S3, Glue, Lake Formation, Athena, Redshift).
- Understanding of data mesh principles and decentralized data architecture.
- Proficiency in Python, SQL
- 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.
- Hands-on experience in infrastructure-as-code tools (e.g., Terraform, CloudFormation).
- Expertise in AWS Glue and PySpark for scalable ETL/ELT development.
- 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.
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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.
