We are looking for a Senior Data Architect to lead enterprise-level data modernization and innovation.In this highly strategic role, you will design scalable, secure, and future-ready data architectures, modernize legacy systems, and provide trusted technical leadership across both technology and business teams.This is a unique opportunity to make a company-wide impact by influencing data strategy and enabling smarter, faster decision-making through data.
Key Responsibilities
Architect & Design :
Lead the development of robust, scalable data models, data management systems, and integration frameworks to ensure enterprise-wide data accuracy, consistency, and security.
Domain Expertise :
Act as a subject matter expert across key business functions such as Supply Chain, Product Engineering, Sales & Marketing, Manufacturing, Finance, and Legal.
Modernization Leadership :
Drive the transformation of legacy systems and manage end-to-end cloud migrations with minimal business disruption.
Collaboration :
Partner with data engineers, scientists, analysts, and IT leaders to build high-performance, scalable data pipelines and transformation solutions.
Governance & Compliance :
Establish and maintain data governance frameworks including metadata repositories, data dictionaries, and data lineage documentation.
Strategic Advisory :
Provide guidance on data architecture best practices, technology selection, and roadmap alignment to senior leadership and cross-functional teams.
Mentorship :
Serve as a mentor and thought leader to junior data professionals, fostering a culture of innovation, knowledge sharing, and technical excellence.
Innovation & Trends :
Stay abreast of emerging technologies in cloud, data platforms, and AI/ML to identify and implement innovative solutions.
Communication :
Translate complex technical concepts into clear, actionable insights for technical and non-technical audiences alike.
Required Qualifications
- 10+ years of experience in data architecture, engineering, or enterprise data management roles.
- Demonstrated success leading large-scale data initiatives in life sciences or other highly regulated industries.
- Deep expertise in modern data architecture paradigms such as Data Lakehouse, Data Mesh, or Data Fabric.
- Strong hands-on experience with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP).
- Proficiency in data modeling, ETL/ELT frameworks, and enterprise integration patterns.
- Deep understanding of data governance, metadata management, master data management (MDM), and data quality practices.
- Experience with tools and platforms including but not limited to :
- Data Integration : Informatica, Talend
- Data Governance : Collibra
- Modeling/Transformation : dbt
- Cloud Platforms : Snowflake, Databricks
- Excellent problem-solving skills with the ability to translate business requirements into scalable data solutions.
- Exceptional communication skills and experience engaging with both executive stakeholders and engineering teams.
Preferred Qualifications (Nice To Have)
- Experience with AI/ML data pipelines or real-time streaming architectures.
- Certifications in cloud technologies (e.g., AWS Certified Solutions Architect, Azure Data Engineer).
- Familiarity with regulatory frameworks such as GxP, HIPAA, or GDPR.
(ref:hirist.tech)