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# Technical Life Sciences Consultant (AI & Data Platforms)

- **Company:** UNICITEC INC.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Business Analytics Applications, Cloud Computing, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Vault Modeling, DevOps, Distributed Systems, Amazon DynamoDB, Python (Programming Language), Metadata, Meta-Data Management, Standard Sql, Software Engineering, SQL Databases, Enterprise Data Management, Apache Spark, Data Management, Cloud Migration, Data Pipelines, Databricks
- **Published:** July 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d70591aeb379551b

## About the Role

* 10+ years of experience in AI, Software Development, Data Engineering, or Data Architecture.
 * 5+ years of consulting experience within the Life Sciences/Pharmaceutical industry.
 * Proven experience leading AI modernization and enterprise data platform initiatives.
 * Strong hands-on experience with:
 * Databricks
 * dbt Core or dbt Cloud
 * Python
 * Apache Spark
 * SQL
 * Data Vault 2.0 (including automate_dv)
 * Strong knowledge of AWS services including:
 * S3
 * Glue
 * Redshift
 * EMR
 * DynamoDB
 * Lambda
 * Athena
 * Kinesis
 * Experience with distributed computing, cloud migration, metadata management, data governance, and enterprise data modeling.
 * Excellent communication and stakeholder management skills with experience working directly with executive leadership.

Preferred Qualifications

 * Experience working with Fortune 500 Life Sciences organizations.
 * Knowledge of AI foundations, operational layers (L1/L2/L3), ontology, and contextual data models.
 * Experience with self-service analytics and modern enterprise data platforms.

## Description

We are seeking an experienced Technical Life Sciences Consultant to lead AI-driven digital transformation initiatives for enterprise Life Sciences clients. The ideal candidate will have deep expertise in cloud-native data platforms, AI modernization, AWS, Databricks, and enterprise data architecture. This role requires strong client-facing consulting experience, technical leadership, and the ability to design scalable, secure, and high-performance data solutions., * Lead client workshops, solution architecture, and technical consulting engagements.

 * Design and implement scalable data platforms using AWS and Databricks.
 * Drive AI modernization initiatives, data platform transformation, and cloud migration projects.
 * Define enterprise architecture standards, data models, governance, metadata, lineage, and data quality frameworks.
 * Build and optimize ETL/ELT pipelines using Python, Spark, SQL, and dbt.
 * Implement CI/CD pipelines, monitoring, observability, and DevOps best practices.
 * Collaborate with business stakeholders, engineering teams, and data product owners to deliver enterprise-scale solutions.
 * Support RFP/RFI responses and provide technical leadership throughout project delivery.


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