Roles & Responsibilities
Stakeholder Engagement
Drive Senior client workshops, problem framing, solution framing
Driving e2e client advisory, opportunity creation, demand generation
Engage with business and technical teams to align architecture with requirements
Support RFP/RFI responses and architectural evaluations
AI Foundations in Pharma
Experience with life-sciences datasets, migration and modernization
Understanding of operational layers (L1, L2, L3) and ontology/context layers
Define and enforce data modelling, metadata, lineage, and quality standards
Implement CI/CD pipelines and monitoring frameworks
Ensure architectures support observability, reliability, and operational excellence
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
Ability to translate business and analytical requirements into scalable data models
Experience assessing current‑state data architectures and defining future‑state models
Experience designing scalable data models for analytical and operational workloads
Strong understanding of metadata, lineage, data quality, and governance frameworks
Familiarity with distributed compute paradigms and cloud‑native modeling patterns
Qualifications
Core Technical Expertise
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)
Leadership & Collaboration
Experience leading architecture across multi‑team, onsite/offshore delivery models
Executive presence to drive VP, Exec Director level meetings, steer-cos independently
Drive proactive thought leadership, technical visioning, workshops, in-person client success initiatives
Life-sciences experience preferred
AI Foundations
Ability to translate complex analytical requirements into scalable architectures (data models, ETL pipelines, consumption layers)
Experience designing and deploying dashboards and self‑service analytics on relational and non‑relational databases
Strong grounding in 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 adoption of enterprise data platforms and modern data practices
Pay
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range Up to $150,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.
Benefits
As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.
Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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