Data Solution and Engineering Lead

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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.