Senior Data Solutions & Engineering Architect
AI summary of the role
Cinemark seeks a Senior Data Solutions & Engineering Architect to define data architecture strategy, design data ingestion and modeling using Microsoft Azure technologies, and lead data governance for business intelligence and data science.
What you’ll do
- Develop and maintain the data warehouse blueprint, including data pipelines and integrations to support increasing data volume and complexity.
- Design data ingestion routines using best practices in ETL/ELT and Microsoft Azure technologies.
- Collaborate with analytics and business teams to improve data models that feed business intelligence tools.
- Implement processes to monitor data quality and enforce governance standards like data lineage and traceability.
What you’ll bring
- 8+ years of experience specializing in data solutions architecture, design, and development.
- 5-7 years of SQL experience; 5+ years with schema design and dimensional data modeling.
- 5+ years in data management disciplines including data integration, modeling, optimization, and data quality.
- Experience with Microsoft data technologies such as Synapse, Fabric, and Power BI.
Technologies
Microsoft Azure · Synapse · Fabric · Power BI · SQL · PL/SQL · Git · Azure DevOps · REST · MS SQL Server
About Cinemark
Operates nearly 500 movie theaters across the U.S. and Latin America, monetizing box office, concessions, premium formats, and subscription loyalty programs.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Join Our Team As part of our Cinemark Universe, you'll discover fun opportunities with real growth potential and plenty of perks. With 500+ theatres and nearly 6,000 screens; we're truly a global presence of 20,000 movie lovers working together to make unforgettable experiences. Role Summary: The Senior Data Solutions and Engineering Architect is a subject matter expert for data architecture. Develop strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. Builds data models and defines the structure, attributes and nomenclature of data elements. Will design data ingestion routines using best practices in data modeling, ETL/ELT processes leveraging Microsoft Azure technologies. Will evaluate new data sources for adherence to the organization's quality standards and ease of integration. Versed in best practices of data governance and data
More from the job description
Join Our Team As part of our Cinemark Universe, you'll discover fun opportunities with real growth potential and plenty of perks. With 500+ theatres and nearly 6,000 screens; we're truly a global presence of 20,000 movie lovers working together to make unforgettable experiences. Role Summary: The Senior Data Solutions and Engineering Architect is a subject matter expert for data architecture. Develop strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. Builds data models and defines the structure, attributes and nomenclature of data elements. Will design data ingestion routines using best practices in data modeling, ETL/ELT processes leveraging Microsoft Azure technologies. Will evaluate new data sources for adherence to the organization's quality standards and ease of integration. Versed in best practices of data governance and data management. Design, establish and enforce standards and principles for data architectural frameworks including modeling, metadata, security, reference data, master data. Lead with input and recommendations on future architecture opportunities and best practices. Work with internal customers, other data architects and engineers to solve, implement and lead through the deployment of technical solutions for their business needs. Responsibilities: Communicates the vision for the data management s [... source excerpt omitted ...] lligence tools, increasing data accessibility and fostering data-driven decision making across the organization Implements processes and systems to monitor data quality, ensuring production data is accurate and available for key stakeholders and business processes that depend on it Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues Designs data integrations and data quality framework Understands and enforces data quality and governance standards like data lineage and traceability Lead or key contributor to data strategy in support of data and data architecture scalability and ability to meet business needs Design an [... source excerpt omitted ...] ence (No-SQL experience is a plus) 5+ years of experience with schema design and dimensional data modeling Ability in managing and communicating data warehouse plans to internal clients Experience designing, building, and maintaining data processing systems Experience in interpreting business needs from requests, and rapidly implement effective technical solutions 5+ years of work experience in data management disciplines including data integration, data modeling, optimization, and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks Experience in Microsoft data technologies such as Synapse, Fabric and Power BI Strong experien
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