Principal Data/Solution Architect

Overview

Hybrid
$0+
Full Time

Skills

Principal Architect
Data Architect
Solution Architect
Data Science
Innovative Solutions
exceptional leadership skills

Job Details

Hi All,

Greetings from criticalriver..!!

Please find the open position for CR Fulltime

Job Title: Principal Data/Solution Architect

Location: Pleasanton, CA

Duration : Fulltime

Strategic Leadership:

Collaborate with executive leadership to define and execute the data science strategy aligned with business objectives.

Provide thought leadership in data science and analytics, influencing decision-making at the highest levels.Drive innovation by identifying and implementing emerging technologies and methodologies.

Solution Architecture:

Architect end-to-end data science solutions, ensuring scalability, reliability, and adherence to best practices.

Collaborate with cross-functional teams to define technical requirements and design robust data architectures.

Lead the development and implementation of advanced analytics and machine learning models.

Team Management:

Lead and mentor a team of data scientists and solution architects.

Foster a collaborative and results-driven team culture, encouraging continuous learning and development.

Provide guidance on complex technical challenges and drive excellence in project execution.

Client Collaboration:

Collaborate with clients and internal stakeholders to understand business challenges and develop tailored data science solutions.

Act as a trusted advisor, translating business needs into technical requirements and delivering high-impact solutions.

Build and maintain strong client relationships, ensuring satisfaction and success.

Innovation and Research:

Stay abreast of industry trends, emerging technologies, and best practices in data science.

Lead research initiatives to explore and integrate new tools and methodologies.

Drive a culture of innovation and continuous improvement within the data science team.

Quality Assurance:

Establish and enforce data quality and governance standards.

Conduct regular reviews and audits to ensure the integrity and accuracy of data-driven solutions.

Collaborate with relevant stakeholders to address data-related challenges

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