Senior Delivery Consultant - Data , Professional Services, AWSI HCLS

Amazon; Boston (MA); On-site; USD 153,600 - 207,800; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Senior Delivery Consultant in Boston to design and implement advanced data solutions, including data pipelines and lakes. The ideal candidate will have over 5 years experience in data engineering and cloud architecture.

This exciting role requires collaboration across organizational boundaries to ensure data quality and governance, all while applying modern AI methodologies for enhanced delivery.

Qualifications

• 5+ years of cloud architecture and solution implementation experience.
• 5+ years of experience in data engineering, data architecture, and/or data platform development.
• Experience with architecting knowledge graphs in enterprise environments.

Responsibilities

• Design and implement production-grade data pipelines and data lakes.
• Collaborate to secure data access and resolve quality challenges.
• Apply AI-accelerated Development Life Cycle methodologies.

Skills

Cloud architecture

Data engineering

Data architecture

AI/ML model training

Data governance

Education

Bachelor's degree

7+ years of professional experience

Tools

Apache Iceberg

Kafka

Amazon SageMaker

Job description

Senior Delivery Consultant - Data, Professional Services, AWSI HCLS

Job ID: 10461480 | Amazon Web Services, Inc.

Application deadline: Jul 4, 2026

Key Job Responsibilities

• Design and implement production‑grade data pipelines, data lakes, lakehouses, and data mesh architectures within enterprise HCLS environments, integrating with legacy systems and existing data governance frameworks.
• Build data products that serve multiple downstream applications and use cases – from AI/ML model training to agentic AI systems, ensuring data quality, lineage, and reliability at scale.
• Operate with a high degree of autonomy within fast‑moving delivery engagements, making judgment calls on data modeling, pipeline design, and architecture without waiting for perfect specifications or constant oversight.
• Navigate complex data access, security, and privacy requirements unique to pharma and healthcare including GxP compliance constraints, HIPAA, and regulatory data governance frameworks.
• Architect contextual knowledge layers, including ontologies and knowledge graphs leveraging AWS Context, Amazon Bedrock Knowledge Bases, and custom ontology extensions to equip AI agents with the vocabulary and guardrails to reason accurately and execute autonomously within regulated environments.
• Collaborate across organizational boundaries to secure data access, understand source system context, and resolve data quality challenges with teams across customer IT, business, and partner organizations.
• Deliver iteratively when requirements are ambiguous, translating incomplete business needs into well‑architected data solutions that can evolve as customer understanding matures.
• Apply AI‑DLC (AI‑accelerated Development Life Cycle) methodologies to data delivery to redesign data workflows to become AI‑native for accelerated scale and pace.

Basic Qualifications

• 5+ years of cloud architecture and solution implementation experience.
• Bachelor's degree, or 7+ years of professional or military experience.
• 5+ years of experience in data engineering, data architecture, and/or data platform development, with hands‑on implementation of production data pipelines.
• Experience with modern data platform design patterns, including data lakes, lakehouses, data mesh, and zero‑ETL patterns and streaming architectures, using services such as Amazon SageMaker Lakehouse, SageMaker Unified Studio, Amazon S3 Tables, Amazon Redshift, and zero‑ETL integrations.
• Experience with architecting and engineering ontologies and knowledge graphs in enterprise environments.

Preferred Qualifications

• AWS certifications in Data Analytics or Machine Learning Specialty.
• Experience in the healthcare and life sciences industry, including familiarity with compliance and security frameworks (HIPAA, GxP) and clinical data standards (OMOP, CDISC, FHIR).
• Hands‑on experience with Apache Iceberg, Spark, Databricks, Snowflake, Kafka, or equivalent distributed data processing frameworks.
• Experience designing and implementing knowledge graph architectures, ontology models, or semantic data layers that support AI/ML and agentic AI systems.
• Experience with data governance and cataloging tools (e.g., AWS Glue Data Catalog, Collibra, Alation) and data lineage tracking and designing data access patterns that support identity and least‑privilege access.
• Experience collaborating with customer business teams, IT, and partner organizations to understand data requirements and resolve access challenges and conveying technical concepts to both technical and business audiences.
• Proficiency in AI‑DLC or equivalent AI‑accelerated development methodologies – including prompt engineering as a development discipline, mob programming with AI, and experience validating AI‑generated data pipeline code for production deployment in regulated environments.

Equal Opportunity Statement

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Legal Fair Chance

Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully; and following all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Disability Accommodation

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

Salary and Benefits

Base salary ranges by location:

• San Francisco – 176,600.00 – 239,000.00 USD annually
• Denver – 153,600.00 – 207,800.00 USD annually
• Chicago – 153,600.00 – 207,800.00 USD annually
• Boston – 153,600.00 – 207,800.00 USD annually
• Raleigh – 153,600.00 – 207,800.00 USD annually
• New York – 169,000.00 – 228,600.00 USD annually
• Arlington – 153,600.00 – 207,800.00 USD annually
• Seattle – 153,600.00 – 207,800.00 USD annually

Amazon also offers a comprehensive benefits package, including health insurance, 401(k) matching, paid time off, and parental leave. For more details, see https://amazon.jobs/en/benefits.