Lead Data Architect
Posted on :
02-08-2024
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1 Vacancy
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Jobs by Experience
5years
Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
02-08-2024
Job Description
Title: Lead Data Architect
Location: Long Beach CA
Duration: 36 Months
Client: The California State University (CSU)
The applicant is the center of our universe.
Data Architecture Design:
Develop and implement a comprehensive data architecture strategy that supports the company s business objectives and growth plans.
Design scalable and efficient data models and architectures to support data warehousing big data and data integration solutions.
Data Governance & Quality:
Establish and enforce data governance policies to ensure data accuracy privacy and security.
Implement data quality frameworks and processes to maintain high standards for data integrity.
Leadership & Team Management:
Lead a team of data architects engineers and analysts; provide mentorship and professional development opportunities.
Coordinate with other IT and business units to ensure effective collaboration and communication.
Technology Evaluation & Implementation:
Stay abreast of emerging technologies and industry trends; evaluate and recommend new tools and technologies to enhance data architecture.
Oversee the implementation of data solutions and ensure they meet organizational needs and performance standards.
Data Integration & Optimization:
Design and manage data integration processes to consolidate and harmonize data from multiple sources.
Optimize data pipelines and workflows for efficiency and performance.
Stakeholder Collaboration:
Work closely with business leaders data scientists and IT teams to understand data requirements and deliver actionable insights.
Translate business requirements into technical specifications and data solutions.
Documentation & Reporting:
Maintain comprehensive documentation of data architecture standards and processes.
Provide regular reports and updates on data architecture initiatives and performance metrics.
Develop and implement a comprehensive data architecture strategy that supports the company s business objectives and growth plans.
Design scalable and efficient data models and architectures to support data warehousing big data and data integration solutions.
Data Governance & Quality:
Establish and enforce data governance policies to ensure data accuracy privacy and security.
Implement data quality frameworks and processes to maintain high standards for data integrity.
Leadership & Team Management:
Lead a team of data architects engineers and analysts; provide mentorship and professional development opportunities.
Coordinate with other IT and business units to ensure effective collaboration and communication.
Technology Evaluation & Implementation:
Stay abreast of emerging technologies and industry trends; evaluate and recommend new tools and technologies to enhance data architecture.
Oversee the implementation of data solutions and ensure they meet organizational needs and performance standards.
Data Integration & Optimization:
Design and manage data integration processes to consolidate and harmonize data from multiple sources.
Optimize data pipelines and workflows for efficiency and performance.
Stakeholder Collaboration:
Work closely with business leaders data scientists and IT teams to understand data requirements and deliver actionable insights.
Translate business requirements into technical specifications and data solutions.
Documentation & Reporting:
Maintain comprehensive documentation of data architecture standards and processes.
Provide regular reports and updates on data architecture initiatives and performance metrics.
Qualifications:
Education: Bachelor s degree in Computer Science Information Systems or a related field; Master s degree preferred.
Experience: 8 years of experience in data architecture data engineering or a related field with at least 3 years in a leadership role.
Technical Skills:
Proficiency in data modeling database design and data warehousing technologies (e.g. SQL NoSQL Hadoop Spark).
Experience with cloud data platforms (e.g. AWS Azure Google Cloud) and data integration tools.
Knowledge of data governance data quality and metadata management best practices.
Soft Skills:
- Strong leadership and team management skills.
- Excellent problemsolving and analytical abilities.
- Effective communication and interpersonal skills with the ability to convey complex concepts to nontechnical stakeholders.
Certifications (Preferred):
- Certified Data Management Professional (CDMP).
- AWS Certified Solutions Architect.
- Microsoft Certified: Azure Data Engineer Associate.
"If you are: bright motivated skilled a differencemaker able to get things done work with minimum direction enthusiastic a thinker able to juggle and multitask communicate effectively and lead then we would like to hear from you. We need exceptionally capable people for this role for our client so get back to us and tell us why you think you are a fit."
About Us:
TriForce is one of the fastest growing companies in Philadelphia region by receiving the award 5 times and 3 times(Ranked #) on Inc. 5000 fastest growing companies in the USA. TriForce Consulting Services Inc. is an established consulting services firm offering innovative solutions to Government and Commercial sectors. We specialize in building customized software applications solutions such as knowledge management systems business intelligence data analysis database support and maintenance data warehouse implementation and support systems architecture and systems integration for our clients. Our technical competencies are in Java.NET SharePoint PHP Business Intelligence (Cog nos Data Warehouse) mobile applications platforms (iPhone iPad Android Blackberry) and various other technologies. We also specialize in providing resources to manage infrastructure projects. TriForce is one of the fastest growing companies in the Philadelphia region by receiving the award 5 times and 2 times on Inc. 5000 fastest growing companies in the USA.
Technical Skills: Proficiency in data modeling, database design, and data warehousing technologies (e.g., SQL, NoSQL, Hadoop, Spark). Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud) and data integration tools. Knowledge of data governance, data quality, and metadata management best practices. Soft Skills: Strong leadership and team management skills. Excellent problem-solving and analytical abilities. Effective communication and interpersonal skills with the ability to convey complex concepts to non-technical stakeholders.
Employment Type
Full Time
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