What are the responsibilities and job description for the Sr. Data Architect position at Meta Soft Inc?
Develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. Designs and builds relational databases for data storage and processing. Evaluates new data sources for adherence to organization’s quality standards and ease of integration. Builds data models and defines the structure, attributes, and nomenclature of data elements. Designs large scale Data architectures with Data Dictionaries, Data Repositories, Data Governance, Big Data Systems, System Latency, Data Recovery, Disaster Recovery, Publish and Subscribe, Service-Oriented Architecture, Representational State Transfer, File Transfer, Data Lakes, and Chain of Custody of Data. Deploys large scale data architectures to include use of Data Lakes, chunking, large file shares, or increased time limits due to lack of quick and large storage; uses serverless computing like Athena/Lambda to handle concurrency, or increased time limits due to lack of infrastructure; and uses extract, transform, load, standard data formats, or parsing due to lack of infrastructure. Designs and provides oversight of manual review data and machine learning models.
Requirements:
· 10 years of experience in one or more of the disciplines associated with data analytics.
· 5 years of experience with working closely with business and IT groups to coordinate current and future plans and activities, including coordination and technical assistance to facilitate specific data analytics.
· 5 years of experience possessing and applying comprehensive knowledge across multiple fields, key tasks components, and high impact assignments.
· 5 years of experience developing plans and leading major consulting assignments that include data analytics with machine learning and artificial intelligence.
· 2 years of in-depth knowledge of at least one analytical/statistical language.
· Minimum Education: Bachelor’s Degree in Computer Science, Computer Engineering, Software Engineering, or a relevant discipline. A combination of experience and education exceeding the degree/education requirements may be considered based on demonstrated experience and certification(s). A graduate degree in Mathematics or Statistics is desired
