AWS Principal Data Engineer

About the Role

The AWS Principal Data Engineer is a senior, hands‑on technical leader and principal individual contributor responsible for designing, building and evolving scalable, reusable AWS data platform solutions. In this role, you will transform governed data into trusted, production‑ready data products that power clinical insights, commercial analytics and AI‑driven innovation.

• Design reusable AWS data platform architectures and lead the implementation and migration of complex data pipelines supporting governed ingestion, batch, streaming, change data capture (CDC), event‑driven processing and data product delivery, ensuring validated cutovers and stage‑gated reconciliation.
• Translate governance requirements into automated platform capabilities, including data contracts, schema validation, data quality controls, lineage capture, metadata management and access enforcement.
• Build and maintain infrastructure‑as‑code modules, CI/CD templates and Terraform‑based provisioning frameworks that enable scalable, secure and governed platform deployment.
• Architect and implement platform capabilities for security, observability, resiliency and cost management, including encryption, identity and access management (IAM), telemetry, service‑level objectives (SLOs) and cost attribution.
• Design governed lakehouse and data product patterns using AWS‑native services and open table formats, including Apache Iceberg, to support scalable analytics, AI workloads and enterprise data products.
• Evaluate emerging technologies, document architectural decisions and establish engineering standards that advance platform maturity, scalability and operational excellence.
• Provide technical leadership through architecture reviews, reference designs and mentoring, enabling engineering teams to adopt best practices and deliver predictable, high‑quality solutions.

• Bachelor's degree in computer science, data engineering, information systems or a related technical field.
• Minimum of 13 years' experience in data engineering, including a minimum of 6 years' experience designing and delivering cloud‑native data platforms in AWS.
• Minimum of 4 years' experience building scalable data platform solutions, including infrastructure‑as‑code, CI/CD, data integration (batch, streaming and CDC) and governance automation such as data contracts, quality controls, lineage and access management.
• Demonstrated expertise with AWS data services, including S3, Glue, Athena, Lambda, MSK, Kinesis, DynamoDB, RDS, Redshift, EMR, Step Functions, DMS, ECS, Lake Formation and Data Zone.
• Production‑level experience with Snowflake.
• Strong programming and platform engineering expertise using Python, Terraform, Bash and distributed data processing frameworks such as Spark and Flink.
• Experience with advanced data architecture and modeling concepts, including knowledge graphs, ontologies, semantic layers and GenAI‑enabled data solutions.
• Demonstrated ability to serve as a principal‑level technical leader by establishing standards, influencing architectural direction and driving adoption across multiple engineering teams.
• Ability to travel up to 10%.

• Master's degree in computer science, data engineering or a related technical field.
• Knowledge of modern lakehouse and data governance technologies, including Alation, Atlan, Data Hub, Informatica or Databricks.
• Experience supporting AI/ML platforms, including governed analytical work spaces and model lifecycle management.
• Familiarity with regulated industries such as medical devices, healthcare or life sciences.

Nearest Major Market:
Los Angeles

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Requisition

Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and…