Principal Data Architect / Direct client / on site - Michigan
M RANJITH
Hi,
Greetings for the day!!!
This is #Ranjith . We have an immediate opportunity with one of our clients. Please find the job description below, and if you are interested, please forward your updated resume to#ran...@interaslabs.com
Role: Principal Data Architect
Duration: 6months
Location: Michigan
Basic Qualifications
· Bachelor's degree in Computer Science or equivalent experience
· 8+ years of enterprise data architecture experience
· 8+ years of experience with architectural patterns, involved in building APIs, microservices, event streams, and high throughput systems
· Knowledge and experience with an enterprise service bus
· Develop and document integration controls, to satisfy audit requirements
· 4+ years of experience working within the AWS ecosystem
· Possess Master Data Management skills (MDM) and strong knowledge of databases such as Oracle and SQL.
· Strong project management, communication, and data analysis skills
Preferred
· Master’s Degree or higher in Computer Science or a related field
· Ten years of data engineering experience, with knowledge of Agile development process
· Experience architecting and developing large scale MDM, data warehousing, data lake and data integration projects
· Experience with data governance tools e.g. Collibra
· Architecture framework certifications, e.g. TOGAF
· Experience in performance monitoring and performance tuning
· AWS certifications
· 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
· A solid understanding and experience in the reporting domain - operational and analytics
· 5+ years driving big data initiatives and navigating complex data challenges
· Possess a strong understanding of the big data landscape
· 5+ years working in and with data lakes, data warehouses, streaming platforms, and cloud platforms
· 2+ years in data mining, machine learning, and data science
· Knowledge of integration packages/enterprise messaging (middleware