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Data Architect

2 months ago

Sleepy Hollow, United States Visionet Systems Inc. Full time

RESEARCH DOMAIN DATA ARCHITECT JD:

This role for a pharmaceutical client expects a candidate with technical leadership background and strong experience in designing the Data model, data products


Data Architecture Leadership:

Spearhead the strategic development and continuous refinement of data architecture frameworks, leading the design and implementation efforts to ensure robust, scalable, and integrated data environments across the organization

Leverage tools and resources to plan, evaluate and execute strategic initiatives by mapping relational entities to use cases or business requirements and assisting in the development of data products


Advanced Data System Design:

Architect complex data systems that support scalable integration and optimal functioning of business-critical applications. Employ sophisticated design principles and tools to model data flows and structures that enhance data accessibility and utility

Manage creation of data design deliverables including data models, data diagrams, data flows and corresponding data dictionary documentation

Innovation in Data Solutions:

Drive the adoption of cutting-edge technologies and methodologies in data architecture and engineering.

Develop innovative solutions that leverage machine learning, artificial intelligence, and cloud technologies to transform data handling and analytics.


Governance and Standards Development:

Define and implement data governance practices and standards to ensure data integrity and compliance across all data systems and platforms. Lead the evaluation and selection of data management technologies to support data security, quality, and efficiency.


Requirements:

Proven Expertise: 12+ years of experience in data architecture, with a solid understanding of data modeling, ETL processes, and modern data frameworks (e.g., DataBricks, Snowflake, Azure).

Pharmaceutical Experience: Experience of multiomic AI enabled drug discovery

Discovery Analytics Experience: Able to construct multi-omics data analysis, visualization, and interpretation. Experience of machine learning approaches to identify biomarker prediction from omic datasets

Leadership Skills: Exceptional ability to lead, mentor, and inspire teams, fostering an environment of accountability and innovation.

Strategic Thinking: Strong analytical skills and the ability to develop strategies that align with long-term objectives.

Problem Solving: Innovative and creative problem-solving skills capable of handling complex challenges.

Experience: A career history that shows a trajectory of growth to high-level roles through significant contributions to business needs and technical innovations.


Advanced Education:

A minimum of a bachelor’s degree in computer science, Information Technology, or a related field, with a preference for advanced degrees.