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Technical Solutions Architect
2 months ago
Job Description
City: Los Angeles, CA preferred
Onsite/ Hybrid/ Remote: Hybrid
Duration: 6 - 9 months extendable
Work Authorization: GC, USC, All valid EADs except H1b
No C2C or 1099 or sub-contract
Job description:
We are looking for a skilled technical architect to design and deliver an enterprise
grade master data management (MDM) solution. The studio has several internal and external datasets
with varying degrees of master data maturity. Our business sponsors are looking to harmonize these data
sets to unlock high-quality title metadata and data interoperability to serve various consumption use
cases. The architect will be a highly skilled individual with experience profiling internal systems and
multiple 3 rd party datasets to produce a solution architecture. Expertise in building conceptual, logical and
physical data models suitable for implementation on Snowflake SaaS is required. Evaluating existing
databases and schemas in addition to collecting new requirements is key to a solution architecture.
Experience with data warehousing and data modeling principles (i.e. Inmon, Kimball) in Snowflake Cloud
Computing is key to this project. This project will require developing detailed design and technical
documentation for our development team to implement. Experience with Media / Entertainment 3rd party
dataset is highly preferred.
Responsibilities include
Experience with profiling and working with high-volume, complex data sets spanning various subject areas for meta completeness and data integration/harmonization opportunities.
Partner with data experts to formulate, understand the solution requirements
Identify the right data sources / data completeness to build the final product
Provide design considerations for both deterministic (ID based) and probabilistic (ML) record matching
Data profiling to build the entity relationships across multiple sources
Build conceptual, logical, and physical data models
Recommend Data Quality Management methodologies for various projects
Review existing and new data assets quality and dependency analysis including connections between them
Key outputs include:
Technical architecture for master data management, title matching, for current and future enhancements
Data providers assessment for completeness, aligning to business requirements and quality
Recommend best practices to manage Data Quality and Data integrity
Solution design for data ingestion pipelines (e.g. refresh rates, error handling, etc.)
Contribution of documentation to IT knowledge database
Qualifications:
8+ of years of Data/IT work experience and 4+ years in the similar role of Data Modeler/Architect.
Media & Entertainment experience is an added plus.
Experience with data modeling concepts (star schemas, snowflake schemas, highly normalized data models)
Data modeling experience with Erwin is preferred
Certified Snowflake SnowPro is preferred
Data Warehousing development experience – Snowflake and/or other cloud solutions
Master Data Management tool experience is an added asset
Knowledge and experience of at least one data profiling tool
Excellent SQL programming skills
Excellent problem-solving skills
Excellent communication skills with both business and technical customers
Take a proactive approach to cross-functional communication
Actively seek out feedback from management and peers
