What are the responsibilities and job description for the Principal Data/Solution Architect position at Critical River, Inc.?
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
