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Responsible for designing, building and overseeing the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources. Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required.
Job Responsibility:
Design, build and oversee deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data
Establish and build processes and structures to channel data from multiple inputs
Develop technical tools and programming that leverage AI, machine learning and big-data techniques to cleanse, organize and transform data
Create and establish design standards and assurance processes for software, systems and applications development
Review internal and external business and product requirements for data operations
Work with data modelers/analysts to understand business problems and create or augment data assets
Develop data structures and pipelines to organize, collect, standardize and transform data
Ensure data quality during ingest, processing and final load
Create standard ingestion frameworks for structured and unstructured data
Create standard methods for end users to consume data (database views, extracts, APIs)
Develop and maintain information systems (data warehouses, data lakes)
Participate in implementation of solutions via data architecture on on-prem and Cloud platforms
Determine appropriate storage platform based on privacy, access and sensitivity
Understand data lineage and transformation rules
Collaborate with technology partners to optimize data sourcing and processing
Develop strategies for data acquisition, archive recovery, and database implementation
Manage data migrations/conversions and troubleshoot data processing issues
Apply data privacy rules consistently
Identify and react to system notifications to ensure quality standards
Solve critical issues and share knowledge
Work nights and weekends, variable schedule(s) as necessary
Requirements:
Bachelor's Degree
5-7 Years Relevant Work Experience
In-depth experience, knowledge and skills in own discipline
Experience in designing, building and overseeing deployment and operation of technology architecture, solutions and software for data
Experience in developing data structures and pipelines
Experience with data acquisition, archive recovery, and database implementation
Experience with on-prem platforms like Kubernetes and Teradata
Experience with Cloud platforms like Databricks, AWS S3, Redshift
Understanding of data lineage and transformation rules
Understanding of data sensitivity and customer data privacy rules and regulations