Senior Delivery Consultant - Data, Professional Services, AWSI, Healthcare and Life Sciences
Core
Design and implement production-grade data platforms (lake, lakehouse, mesh) and AI-ready data assets for Healthcare and Life Sciences customers to support agentic AI systems and GenAI applications.
Role type
Senior Delivery Consultant (Data Engineering & AI Architecture)
Builds
Production data pipelines, data lakes, knowledge graphs, and enterprise RAG architectures for regulated healthcare environments.
Domain
Healthcare and Life Sciences / Cloud Data Engineering / Generative AI
Deliverable
production ML models | product features
Required skills
Advanced SQL, Data engineering pipelines, AWS technologies (Redshift, S3, Glue, EMR, Kinesis, Lambda), Data governance frameworks, Regulatory compliance (GxP, HIPAA, CDISC), Legacy system integration, Knowledge graph architecture, Ontology design, AI-DLC methodologies
Preferred skills
Bigdata architecture (Hive, Spark, Kafka), Clinical data standards (OMOP, FHIR), Data cataloging tools, AI/ML/GenAI technologies, AWS Data Analytics or Machine Learning certifications, Prompt engineering (via careerplan.io/jobs/10463316-senior-delivery-consultant-data-professional-services-awsi-healthcare-and-life-sciences-at)
Technologies
AWS Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM, Amazon Bedrock, AWS Context, Apache Spark, Apache Kafka, Collibra, Alation
Responsibilities
Design and implement modern data platforms and AI-ready data pipelines within complex HCLS environments. Architect contextual knowledge layers and vector stores to enable accurate AI reasoning. Operate autonomously to translate ambiguous business needs into well-architected data solutions. Navigate complex data security, privacy, and regulatory requirements. Collaborate across customer IT, business, and partner organizations to resolve data access and quality challenges. Apply AI-DLC methodologies to redesign workflows for accelerated scale.
Seniority
Senior, hands-on IC