Strategic Life Sciences AI Platform Architect

CareerUS Solution; New York (NY); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) eligibility

Job summary

CareerUS Solution seeks a Technical Life Sciences Consultant to drive AI-led business transformations for Fortune 50 Life Sciences clients in New York and New Jersey, leveraging enterprise-scale data platforms on AWS and Databricks. You will manage client programs end-to-end, grow the business, and guide technical execution with data engineering, analytics, and AI/ML best practices.

You will partner with engineering teams, data product owners, and stakeholders to set architectural standards,

Qualifications

• 10+ years in AI, software/data engineering or data architecture.
• ,

Responsibilities

• Lead end-to-end client advisory, opportunity creation, and demand generation.
• Architect end-to-end solutions on AWS and Databricks.
• Define data modeling, metadata, lineage, quality, and governance standards.
• Review and guide solution designs for scalability, performance, and security.

Skills

AI & ML

Data engineering

Data architecture

Databricks

Python

SQL

dbt Core

Spark

AWS

Data Vault 2.0

Tools

Databricks

dbt Core

Python

Spark

SQL

AWS services

Job description

We are seeking a Technical Life Sciences Consultant to drive AI-led business transformations for Fortune 50 Life Sciences clients in New York and New Jersey, using enterprise-scale data and platform architectures on AWS and Databricks.The role is responsible for end-to-end client management, program management, business growth, and client success by ensuring solutions are scalable, secure, cost-efficient, and aligned with modern data engineering, analytics, and AI/ML best practices. The consultant will partner with engineering teams, data product owners, and business stakeholders to establish architectural standards, design cloud-native data platforms, and guide technical execution across complex programs.Roles and ResponsibilitiesStakeholder Engagement• Drive senior client workshops, problem framing, and solution framing• Lead end-to-end client advisory, opportunity creation, and demand generation• Engage with business and technical teams to align architecture with business requirements• Support RFP and RFI responses and architectural evaluationsAI Foundations in Pharma• Experience with Life Sciences datasets, migration, and modernization• Understanding of operational layers L1, L2, and L3, along with ontology and context layers• Define and enforce data modeling, metadata, lineage, and quality standards• Implement CI/CD pipelines and monitoring frameworks• Ensure architectures support observability, reliability, and operational excellence• Architect end-to-end solutions on AWS and Databricks• Define architectural standards, patterns, and best practices• Review and guide solution designs for scalability, performance, and security• Evaluate technology options and recommend long-term architectural strategies• Translate business and analytical requirements into scalable data models• Assess current-state data architectures and define future-state models• Design scalable data models for analytical and operational workloads• Demonstrate strong understanding of metadata, lineage, data quality, and governance frameworks• Be familiar with distributed compute paradigms and cloud-native modeling patternsQualificationsCore Technical Expertise• 10+ years of experience in AI, software development, data engineering, or data architecture• 5+ years of Life Sciences consulting experience• Experience driving modernization initiatives for AI products with AI foundations, governance, operational layers, and context layers• Strong experience with Databricks, dbt Core or Cloud, Python, Spark, SQL, distributed compute paradigms including in-memory, distributed, and MPP architectures, and Data Vault 2.0 including automate_dv• Deep knowledge of AWS services including S3, Glue, Redshift, EMR, DynamoDB, Lambda, Athena, and KinesisLeadership and Collaboration• Experience leading architecture across multi-team onsite and offshore delivery models• Executive presence to lead VP and Executive Director-level meetings and steering committees independently• Ability to drive thought leadership, technical visioning, workshops, and client success initiatives• Life Sciences experience preferredAI Foundations• Ability to translate complex analytical requirements into scalable architectures including data models, ETL pipelines, and consumption layers• Experience designing and deploying dashboards and self-service analytics on relational and non-relational databases• Strong understanding of CI/CD, DevOps, static code analysis, and test-driven development• Experience with cloud migration patterns and modern data platform design• Experience defining data standards, metadata models, lineage, quality rules, and governance patterns• Experience implementing logging, monitoring, observability, and cost optimization frameworks• Experience driving enterprise data platform adoption and modern data practicesBenefitsEligible full-time employees, and hourly employees working more than 30 hours per week, are entitled to:• Health insurance• Dental insurance• Vision insurance• Life insurance• Disability insurance• Benefits starting on the first day of employment• 401(k) eligibility after 30 days of employment• 11 paid holidays• 12 weeks of parental leave• Flexible PTO policy for vacation and sick leave

Responsibilities

• Drive senior client workshops, problem framing, and solution framing
• Lead end-to-end client advisory, opportunity creation, and demand generation
• Architect end-to-end solutions on AWS and Databricks
• Define data modeling, metadata, lineage, quality, and governance standards
• Review and guide solution designs for scalability, performance, and security

Required Skills

AWS (S3, Glue, Redshift, EMR, DynamoDB, Lambda, Athena, Kinesis) Databricks dbt Core / Cloud Python, Spark, SQL Data Vault 2.0 (automate_dv) Data Engineering & Architecture

Preferred Skills

Life Sciences Consulting AI Foundations & Governance CI/CD & DevOps

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