AWS with Databricks exp

Fractal Analytics•New York, NY

3d•Onsite

About The Position

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. The ideal candidate will serve as the primary technical liaison for key client engagements within the Pharma domain. This role requires a blend of technical expertise, stakeholder management, and project leadership to drive data modernization initiatives, GenAI solution deployment, and cloud-based data engineering programs. The ideal candidate will possess strong hands-on understanding of Databricks, AWS, Snowflake, Dalta Lakes, and emerging GenAI technologies, with demonstrated experience delivering complex data transformation projects.

Requirements

8–10 years of experience in technical program management, data engineering, or solution delivery roles within the Pharma domain.
Strong practical understanding of Databricks, including notebooks, workflows, Delta Lake, and large-scale data processing.
Hands-on experience with AWS services, including but not limited to: S3, Glue, Lambda, ECS, IAM, and strong familiarity with AWS Bedrock for GenAI.
Proficiency in Snowflake, including data modeling, Snowpipes, warehouses, and performance optimization.
Deep understanding of Data Lakes, data ingestion, ETL/ELT patterns, and scalable data architectures.
Working knowledge of GenAI concepts, including prompt engineering, LLM usage, vector stores, and responsible AI practices.
Proven experience in data modernization initiatives within enterprises.
Strong communication, client-facing, and stakeholder management skills.
Ability to translate complex technical concepts into clear business language for non-technical stakeholders.
Experience in the Pharma industry

Responsibilities

Lead technical engagement activities with Pharma clients, ensuring alignment between business objectives and technology solutions.
Manage end-to-end delivery of cloud, data engineering, and GenAI-focused projects across cross-functional teams.
Provide strategic guidance on data modernization, scalable architecture, and best practices in advanced analytics and cloud platforms.
Facilitate requirement gathering, solution design, and technical governance across platforms such as Databricks, AWS, Snowflake, and enterprise Data Lakes.
Work closely with product, engineering, and client teams to translate business needs into actionable technical solutions.
Oversee technical roadmaps, milestones, and deliverables to ensure successful execution of complex engagements.
Engage in hands-on review of data workflows, architecture, and model implementation to ensure adherence to quality and compliance standards.
Partner with stakeholders to drive adoption of GenAI, including use cases on AWS Bedrock and modern LLM-driven solutions.
Manage risks, provide timely status updates, and maintain strong client relationships.
Ensure solutions comply with Pharma domain regulatory expectations, including data privacy, governance, and validation requirements.