Senior Data Solutions & Engineering Architect

Cinemark

Plano (TX)

On-site

USD 120,000 - 145,000

Full time

14 days+

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Benefits offered by this job

Employee Discount

401(k) Matching

Growth Opportunities

Education Assistance

Health Benefits

Parental Leave

Paid Time Off

Daily Pay

Free Movies

Job summary

A leading entertainment company is seeking a Senior Data Solutions and Engineering Architect to develop and implement strategies for data warehousing and data integration. The ideal candidate will have over 8 years of experience in data architecture, mastery of SQL, and familiarity with Microsoft Azure technologies. Responsibilities include designing data ingestion routines, ensuring data quality, and collaborating with analytics teams to promote data-driven decision making. This position offers a dynamic work environment with numerous growth opportunities.

Qualifications

8+ years of experience in data solutions architecture, design, and development.
5+ years of experience with schema design and dimensional data modeling.
Strong analytical and problem-solving skills, with attention to accuracy and detail.

Responsibilities

Communicates the vision for the data management supply chain.
Designs data integrations and quality frameworks.
Implements processes to monitor data quality.

Skills

Data solutions architecture

SQL

Dimensional data modeling

Data quality

Cloud Data Warehousing

Education

Bachelor’s degree in computer science, Engineering, Math or related field

Master's degree

Tools

Microsoft Azure

SQL Server

Git

Power BI

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 supply chain as it relates to business intelligence and data science.
Develops and maintains the “blueprint” from which BI solutions are built. Includes data pipelines and integrations to support continuing increases in data volume and complexity
Collaborate with analytics and business teams to improve data models that feed business intelligence 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 and implement dimensional modeling techniques for data warehouse and mart consumption

Requirements:

Bachelor’s degree in computer science, Engineering, Math or related field is required. Master's degree is preferred
8+ years of experience, specializing in data solutions architecture, design, and development
5-7 years of SQL experience (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 experience with popular database programming languages including SQL, PL/SQL and others for relational databases
Experience sourcing data via a variety of sources like REST web services, MS SQL Server
Experience using software version control tools (Git, Azure DevOps, Subversion, etc.)
Advanced level of SQL and query performance tuning techniques for Data Integration and Consumption
Solid understanding of BI and analytics landscape, preferably in large-scale development environments
Experience with or knowledge of Agile Software Development methodologies
Background in Cloud Data Warehousing principles and Data Modeling
Strong aptitude for learning new technologies and analytics techniques
Communication skills and ability to develop and present solutions to all levels of management
Must be able to interact effectively and patiently with customers especially while under pressure
The ability to work on multiple projects/tasks simultaneously to meet project deadlines for self and others as required
Ability to establish and maintain positive working relationships with other employees.
Strong analytical and problem-solving skills, with strict attention to accuracy and detail, and the ability to evolve data into knowledge
Passion for delivering highly available, robust BI solutions
Knowledge of best practices and IT operations in an always-up, always-available service

Preferred Certification(s):

One or more of the following:
Certified Data Management Professional (CDMP)
Data Vault 2.0 Certification
Arcitura Certified Big Data Architect
MS Fabric certification
MS Synapse certification

Benefits Available:

At Cinemark, we believe every team member should feel like a hero. Each career comes with a variety of blockbuster benefits for both hourly and salaried team members.