Data Solution and Engineering Lead

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 ideal candidate will be a highly motivated leader and problem-solver who works functionally across various departments. As a Data Solutions and Engineering lead, you will find yourself in a unique position of designing data engineering strategies to support business. 

Responsibilities:

• The resource is responsible for development, implementation, testing, documentation and maintenance of BI and analytics solutions. 
• This seasoned data engineering professional will possess expertise in data ingestion and egress routines, utilizing best practices in data modeling, ETL/ELT processes orchestrated across public elastic clouds (AWS, Azure, GCP), with a preference for Azure.
• Additionally, the professional will lead and influence the creation of Data-as-a-product to produce comprehensive, composable, reusable, and modular data assets that offer incremental analytics utility and standardization benefits.
• The individual will promote and manage data assets/products throughout their lifecycle, including ingestion, curation, transformation, utilization, and retention.
• Establishing a data governance framework is essential, acting simultaneously as a data steward/data owner and data quality analyst to ensure the integrity of analytical data assets.
• Responsibilities also include managing and building documentation, such as business glossaries, metadata/data dictionaries for structured and unstructured data sources, and archiving and documenting data lineage using tools like Azure Purview, Alation, Axon, etc.
• Develops and maintains scalable data pipelines, creating new integrations to accommodate increasing data volume and complexity.
• Collaborates with analytics and business teams to enhance data models that support business intelligence tools, thereby improving data accessibility and fostering data-driven decision making throughout the organization.
• Implements processes and systems to monitor data quality, ensuring that production data is accurate and accessible for key stakeholders and business processes.
• Designs data integrations and frameworks for maintaining data quality.
• Understands and enforces data quality and governance standards, including data lineage and traceability.
• Contributes data strategy, ensuring scalability of data and data architecture to meet business requirements.

Requirements:

• Bachelor’s degree in computer science, Engineering or related field. Master's degree is preferred
• 7+ years of experience, specializing in data pipelines, Business Intelligence and Analytics solution development, with a track record in leveraging Microsoft Technologies, Azure Data, Power BI, Tableau, Alteryx, Shiny Apps, Data Bricks etc.
• 5+ years of hand-on SQL experience (No-SQL experience is a plus)
• 5+ years of experience with schema design and dimensional data modeling for business analytics
• Ability in managing and communicating data warehouse and release plans to internal clients
• Experience in interpreting business needs from requests, and rapidly prototype and implement effective technical solutions
• 5+ years of work experience working in a hybrid data environment and organization with track record of democratizing and productizing data for analytics and insights needs across the org
• Strong experience with popular database programming languages including SQL, others for relational databases with an exposure to microservices architecture
• Experience using software version control tools (Git, Azure DevOps, etc).
• Advanced level of SQL and query performance tuning techniques for Data Integration and Consumption and Minimization of code base/promote less moving parts and management of technical debt 
• Experience with or knowledge of Agile Software Development methodologies, SAFe certification preferred
• Background in Cloud Data Warehousing principles and Data Modeling preferred
• 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
• Strong analytical and problem-solving skills, with prior experience in data/business architecture, data science role

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.

• Employee Discount
• 401(k) Matching*
• Growth Opportunities
• Education Assistance*
• Health Benefits*
• Parental Leave*
• Paid Time Off*

*Benefits may vary by career category, so be sure to check the specific details on our career site.

DISCLAIMER: This job description is intended only as a general guideline of your duties and responsibilities at Cinemark and is not a legally binding contract. Cinemark reserves the right to amend, change or terminate the job description, as it deems appropriate. Any change amendments, or modifications may be implemented even though they have not been communicated, reprinted or substituted in this job description.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  

Cinemark is an Equal Opportunity Employer