Enterprise Data Architect

Makena Tech Solutions Inc

Map the sources, transformation, and interfaces of critical data through the enterprise

  1. Map the sources, transformation, and interfaces of critical data through the enterprise 
  2. Design the storage, movement, and processing patterns that will align to our technology vision 
  3. Build the canonical data definitions and views for key systems, in close collaboration with business owners. 
  4. Build foundational patterns which mitigate risk, improve data quality, and support compliance 
  5. Leverage sound judgment and problem solving to tackle some of THE COMPANY’s most important data management problems and connect the dots to broader implications of the work  
  6. Build awareness, increase knowledge sharing and drive adoption of modern technologies and architecture patterns in this domain  
  7. Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization  
  8. Operate as a trusted advisor for data transformation and machine learning ecosystem, helping to shape use cases and implementation in an integrated manner  
  9. Bring in a larger context to multiple software teams across multiple lines of business and guide their architecture evolution in response to business changes 
Basic Qualifications:  
  • Bachelor's in Computer Science or equivalent experience 
  • At least 8 years of enterprise data architecture experience 
  • At least 8 years of experience with architectural patterns, involved in building APIs, microservices, event streams, and high throughput systems  
  • Minimum 10 years of data engineering experience, with knowledge of Agile development process  
  • Experience architecting and developing large scale MDM (preferred Informatica), data warehousing, data lake and data integration projects  
  • Experience with Data governance tools e.g. Collibra 
  • Experience in performance monitoring and performance tuning 
  • Preferred Qualifications:  
  • Masters' Degree or higher in Computer Science or a related field  
  • 10+ years in software development, solutions architecture, or architect roles  
  • 10+ years of experience in designing, developing, and architecting enterprise data systems  
  • 10+ years with distributed data management, data storage including databases (Relational, NoSQL), data analysis, data processing, data transformation, high availability, and scalability  
  • 5+ years driving big data initiatives and navigating complex data challenges  
  • Has a strong understanding of the big data landscape  
  • 5+ years as a big data specialist working in and with data lakes, data warehouses, streaming platforms, and cloud platforms  
  • 2+ years in data mining, machine learning, and data science  
  • Experience in financial or other regulated domain is a plus 
  • Experience in transformational initiatives, re-imaging on-prem data footprint (tech, data) to the cloud 
  • Associated topics: data analytics, data architect, data integration, data scientist, data warehouse, data warehousing, big data, hbase, sql, teradata