MTO Data Governance Strategy Architect

About Us:

Perfict Global is a leading IT consulting services provider focused on providing innovative and successful business workforce solutions to Fortune 500 companies. Our trained and experienced professionals constantly strive to bring together the best technologies available to manage client’s complex business and technology, participate in implementation activities and collaborate in new ways to meet client needs.

We provide excellent benefits such as Medical, Dental, Vision ++ a fun company to work!!!

MTO = Microfluidics Technology and Operations

• Mostly Oracle DB, both on prem and AWS
• AWS.
• ETL for data integration
• Data Governance
• Data Quality Management
• Python
• SQL
• Data modeling
• Platform Design:
  The architect should understand modern data platform architectures encompassing cloud-native solutions. The architect should be proficient in designing scalable, reliable, and cost-effective data platforms leveraging AWS services or other cloud providers.
• Data Modeling:
  The architect should be proficient in data modeling to design efficient data schemas that support the organization’s analytical and operational needs while adhering to best practices for performance and scalability.
• Data Integration The architect should have expertise in integrating data from disparate sources and be familiar with various ETL/ELT tools and techniques, as well as real-time data integration methods to ensure timely and accurate data processing.
• Data Quality Management:
  The architect should have experience implementing data quality frameworks and processes to ensure the integrity and accuracy of data. This includes data profiling, cleansing, deduplication, and monitoring.
• Data Governance:
  The architect should understand data governance principles and practices to ensure data is treated as an asset and governed effectively throughout its lifecycle.
• Cloud Computing:
  The architect should understand cloud computing concepts and have professional experience with cloud platforms like AWS. The architect should be familiar with cloud services relevant to data management, such as S3, Redshift, Glue, Athena, and others.
• Programming and Scripting:
  The architect should be proficient in programming languages such as Python and SQL for implementing processing logic, automation, and scripting tasks.
• Communication and Stakeholder Management:
  The architect should possess strong communication skills for collaborating with cross-functional teams, understanding business requirements, and effectively communicating technical solutions to stakeholders at all levels of the organization.
• Problem-Solving and Analytical Thinking:
  The architect should have the ability to analyze complex data-related problems, identify root causes, and propose innovative solutions.