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Technology Data Management
Data Solutions Architect
Confirmed live in the last 24 hours
Dallas, TX, USA
Experience Level
Desired Skills
Data Analysis
Data Science
Power BI
  • Bachelor's degree in business, computer science, software engineering, information systems, or a related field required. Advanced degree in business administration or information technology preferred
  • 7+ years combined experience: Analytics, Data Science, Data Engineering, Business Intelligence, Software Development, Program Management, technical/engineering role(s) with a data focus
  • 3+ years of hands-on experience in architecting, designing, and implementing complex data architectures on Cloud DBaaS
  • 5+ years of hands-on experience building automated ETL/ELT or data integration processes utilizing multiple source systems
  • Hands-on and in-depth knowledge and experience in BI reporting (i.e. Power BI, Qlik, Tableau)
  • Demonstrated experience in strategy development, project management, and organizational design and development
  • Thorough understanding of and experience with multiple SDLC methods such as waterfall, SCRUM, and/or Agile
  • Exceptional leadership and communications skills with the ability to develop and communicate vision and complexity in a manner that inspires and motivates staff and stakeholders alike
  • Deep understanding of current and emerging technologies and maximization of the use of structured and unstructured data. Experience with cloud-based data management solutions
  • Demonstrated integrity, independent thinking, judgment, and respect for others
  • Establish a coherent strategy for organizing, governing, analyzing, and deploying the firm's information assets
  • Establish/influence strategies and policies to ensure data consistency, accuracy, timeliness, validity and completeness
  • Ensures data and information are handled in accordance with established laws, regulations and policies
  • Collaborate with partners on design, development and implementation of innovative governance policies, practices, roles and responsibilities
  • Performs complex data profiling and analysis; communicates results in support of data quality processes
  • Meets with business customers to recommend, develop, maintain and prioritize business data requirements and specifications
  • Leverage knowledge of data models, data relationships, mapping lineage and business rules to ensure that solutions meet operational and business needs
  • Applies advanced understanding of overall physical and logical data model and of data relationships, mapping, lineage and business rules
  • Leads the design and implementation of metadata repositories
  • Actively promotes a knowledge sharing culture and value proposition while generating awareness of initiatives throughout the organization
  • Leads the creation, maintenance and governance of taxonomies and ensures its applicability to content and/or data
  • Develops and owns project timelines and planning for assigned projects
  • Strong understanding of emerging trends in knowledge management

1,001-5,000 employees

Global investment firm
Company Overview
Through an integrated approach across our firm, KKR seeks to provide innovative financial solutions and investment vehicles to help their fund investors achieve their investment goals.
  • Investing in Training and Development
  • Driving Diversity for Better Results
  • Focusing on Wellness and Benefits
  • Greening Our Operations
Company Core Values
  • Teamwork
  • Integrity
  • Relationship-Driven
  • Accountability
  • Innovation
  • Excellence
  • Diversity