Pharma Data Governance Architect — AI-Driven Life Sciences

BlackCube Labs; New York (NY); On-site; USD 135,000 - 165,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Parental Leave

Paid holidays

Job summary

Fractal is seeking a Technical Life-sciences Consultant to lead AI-driven data governance initiatives for major Life Sciences clients in New York and New Jersey. You will architect cloud-native data platforms on AWS and Databricks, guiding multi‑team delivery, governance, and secure scalable solutions.

You will translate business needs into robust data models, oversee CI/CD pipelines, and ensure observability, quality, and cost optimization across complex programs.

Qualifications

• 10+ years in AI, software development, data engineering, or data architecture
• 5+ years in life-sciences consulting
• Driven Modernization initiatives for AI products with AI Foundations, governance, operational layers, context layers
• Strong experience with Databricks, dbt Core/Cloud, Python, Spark, SQL, distributed compute paradigms (in‑memory, distributed, MPP), Data Vault 2.0 experience (including automate_dv)
• Deep awareness with AWS services (S3, Glue, Redshift, EMR, DynamoDB, Lambda, Athena, Kinesis)

Responsibilities

• Drive Senior client workshops, problem framing, solution framing
• Driving end-to-end client advisory, opportunity creation, demand generation
• Engage with business and technical teams to align architecture with requirements
• Support RFP/RFI responses and architecture evaluations
• Experience architecting 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
• Understand metadata, lineage, data quality, and governance frameworks
• Familiarity with distributed compute paradigms and cloud-native modeling patterns
• Translate complex analytical requirements into scalable architectures (data models, ETL pipelines)
• Design dashboards and self-service analytics on relational and non-relational databases
• Strong grounding in CI/CD, DevOps, static code analysis, and test-driven development
• Cloud migration patterns and modern data platform design
• Define data standards, metadata models, lineage, quality rules, and governance patterns
• Implement logging, monitoring, observability, and cost-optimization frameworks
• Drive adoption of enterprise data platforms and modern data practices

Skills

Databricks

dbt Core/Cloud

Python

Spark

SQL

AWS services

Data Governance

Data Modeling

CI/CD

Leadership

Life-sciences domain

Tools

Databricks

dbt Core

Python

Spark

AWS

Job description

Fractal is seeking a Technical Life-sciences Consultant to lead AI-driven data governance initiatives for major Life Sciences clients in New York and New Jersey. You will architect cloud-native data platforms on AWS and Databricks, guiding multi‑team delivery, governance, and secure scalable solutions.

You will translate business needs into robust data models, oversee CI/CD pipelines, and ensure observability, quality, and cost optimization across complex programs.