Senior Delivery Consultant - Data, Professional Services, AWSI, Healthcare and Life Sciences
Technology, Data & Digital · Data, AI & Analytics · Data Science · Data Engineering
In short
Responsibilities
- Design and implement production-grade data pipelines, data lakes, lakehouses, and data mesh architectures within enterprise HCLS environments.
- Build data products for AI/ML model training and agentic AI systems, ensuring data quality, lineage, and reliability.
- Operate with autonomy in delivery engagements, making judgment calls on data modeling and pipeline design.
- Navigate complex data access, security, and privacy requirements in pharma and healthcare, including GxP, HIPAA, and regulatory governance.
- Architect contextual knowledge layers, including ontologies and knowledge graphs using AWS tools for AI agents.
- Collaborate across organizational boundaries to secure data access and resolve data quality challenges.
- Deliver iteratively, translating incomplete business needs into well-architected data solutions.
- Apply AI-DLC methodologies to redesign data workflows for accelerated scale.
Requirements
- Bachelor's degree in a related field.
- Experience in advanced SQL and writing complex queries.
- Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations, and analytical platforms.
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM.
Desired Qualifications
- Experience with compliance & security standards including PCI DSS, ISO 27001, HIPAA, and NIST.
- 6+ years of experience solving problems with technology in the Healthcare/Life Sciences Industry.
- Experience in Big Data architecture (Hive/Spark/Hbase/Yarn) and Kafka.
- 4+ years of working with Data & AI related technologies (AI/ML, GenAI, Analytics, Database, Storage).
- Experience in clinical data standards (OMOP, CDISC, FHIR).
- Experience with data governance and cataloging tools (e.g., AWS Glue Data Catalog, Collibra, Alation).
- Experience designing data access patterns supporting identity and least-privilege access.
- Experience collaborating with customer business and IT teams to understand data requirements and resolve access challenges.
- Proficiency in AI-DLC or equivalent AI-accelerated development methodologies, including prompt engineering and validating AI-generated code for regulated environments.
Benefits
- Diverse experiences valued; candidates encouraged to apply even if not all preferred qualifications are met.
- Opportunity to work on a comprehensive and broadly adopted cloud platform.
- Inclusive team culture with employee-led affinity groups.
- Mentorship and career growth resources.
- Emphasis on work-life harmony and flexibility.
Skills
About Amazon
Earth's most customer-centric company
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.\n\nTogether, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers:…
Company
AmazonJob Posted
4 days ago
Employment Type
Full Time
Work mode
On Site
Experience Level
Senior
Locations
Bengaluru, India
Hyderabad, India
Qualification
Applicants
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