A Big Data Architect develops computer infrastructure and databases needed to process large amounts of data for a company or organization. Identifies big data requirements, supports the implementation of big data platforms and designs, builds and implements database systems. Supports database administration, develops database security policies and works to prevent cyber attacks.
Design, build, and optimize scalable data pipelines and enterprise-grade machine learning workflows (MLOps) using Azure/AWS Databricks.
Pharma Commercial Strategy:
Architect data solutions tailored for Pharma Commercial operations, including marketing automation, customer journey mapping, campaign analytics, and omnichannel orchestration.
AI/ML Innovation:
Implement Generative AI, Large Language Models (LLMs), and predictive analytics to drive next-best-action (NBA) engines and personalized customer insights.
Data Governance:
Establish robust data frameworks using Databricks Unity Catalog, ensuring strict adherence to industry regulations like GxP, HIPAA, and GDPR .
Client Consulting:
Function as a subject matter expert (SME) to translate complex business needs from stakeholders into tactical and strategic technical architectures.
Expert-level experience with Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Delta Live Tables).
AI/ML & Analytics:
Proven hands-on experience in AI/ML modelling , MLOps, Python/PySpark, Spark SQL, and working with modern GenAI frameworks (e.g., OpenAI, Bedrock, or similar).
Pharma Domain:
Strong background working within Pharmaceuticals / Life Sciences , specifically with Commercial Data, Sales/Marketing Tech (MarTech), or Patient Analytics.
Regulatory Knowledge:
Deep understanding of data privacy and compliance standards including GxP and HIPAA .
Consulting Experience:
Prior experience working with major IT/Management Consulting firms delivering technical solutions to enterprise clients.
Cloud Infrastructure:
Strong proficiency in AWS, Azure, or GCP data services and DevOps/IaC tools (Terraform, CI/CD pipelines). Preferred Certifications Databricks Certified Solutions Architect / Data Engineer Databricks Generative AI / Lakehouse Credentials AWS Certified Solutions Architect -
Professional or Microsoft Certified:
Azure Solutions Architect Expert Pay:
$125,000.00 - $140,000.00 per year
Experience:
Healthcare:
8 years (Required) Life sciences: 8 years (Required) IT consulting: 8 years (Required) Any cloud (AWS,GCP, Azure): 8 years (Required)
Databricks:
9 years (Required) Consulting company: 8 years (Required)
