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: We are seeking a highly skilled Senior Data Engineer to design, build, and optimize enterprise-scale data platforms. This role is a key technical contributor responsible for architecting modern, scalable data solutions within the Microsoft Azure and Microsoft Fabric ecosystems. The ideal candidate brings deep expertise in data architecture, distributed data processing, and advanced ETL/ELT engineering, and thrives in a fast-paced environment delivering high-performance, business-critical data solutions. Key Responsibilities Architect and deliver enterprise-grade data pipelines using Azure technologies such as Azure Data Factory, Synapse Analytics, ADLS, and Microsoft Fabric Design and implement end-to-end data solutions, including ingestion, transformation, and serving layers across medallion architectures Develop and optimize scalable ELT/ETL pipelines using T-SQL, Python, and PySpark for both batch and real-time data processing Enable low-latency, parallel data processing to support timely analytics and reporting needs Manage and process high-volume transactional data from multiple source systems, ensuring accuracy, quality, and consistency Design and maintain Data Vault 2.0 models (Hubs, Links, Satellites) and multi-layer data architecture (raw, business, reporting layers) Build scalable data platforms supporting advanced analytics, distributed compute, and unified data environments Collaborate cross-functionally with data architects, analysts, and business stakeholders to deliver effective data solutions Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field 5 years of experience in data engineering, delivering enterprise-scale data solutions Proven ability to work independently on complex technical solutions with minimal supervision Strong collaboration and communication skills in cross-functional environments Microsoft Azure certifications (or equivalent cloud certifications) are preferred Preferred Skills Expertise in Microsoft Azure data services and Microsoft Fabric ecosystem Strong knowledge of data modeling techniques, including Data Vault 2.0 and medallion architecture Advanced programming skills in T-SQL, Python, and PySpark Experience with distributed data processing and big data platforms Strong analytical mindset focused on building scalable, resilient, and high-performance systems Ability to manage competing priorities in a fast-paced environment while ensuring data quality and integrity Excellent communication and documentation skills to translate technical solutions for business stakeholders Why Join Us Opportunity to work on next-generation data platforms leveraging Azure and Microsoft Fabric Exposure to large-scale, high-impact data initiatives driving business value Collaborative environment with strong alignment to analytics, data science, and business teams 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* Daily Pay* Free Movies* * 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

Requirements

Must-haves

Join Our Team
Architect and deliver enterprise-grade data pipelines using Azure technologies such as Azure Data Factory, Synapse Analytics, ADLS, and Microsoft Fabric
Design and implement end-to-end data solutions, including ingestion, transformation, and serving layers across medallion architectures
Develop and optimize scalable ELT/ETL pipelines using T-SQL, Python, and PySpark for both batch and real-time data processing
Enable low-latency, parallel data processing to support timely analytics and reporting needs
Manage and process high-volume transactional data from multiple source systems, ensuring accuracy, quality, and consistency
Design and maintain Data Vault 2.0 models (Hubs, Links, Satellites) and multi-layer data architecture (raw, business, reporting layers)
Build scalable data platforms supporting advanced analytics, distributed compute, and unified data environments
Collaborate cross-functionally with data architects, analysts, and business stakeholders to deliver effective data solutions
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
5 years of experience in data engineering, delivering enterprise-scale data solutions
Proven ability to work independently on complex technical solutions with minimal supervision
Strong collaboration and communication skills in cross-functional environments
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.
Growth Opportunities
Education Assistance*

Nice-to-haves

Microsoft Azure certifications (or equivalent cloud certifications) are preferred
Expertise in Microsoft Azure data services and Microsoft Fabric ecosystem
Strong knowledge of data modeling techniques, including Data Vault 2.0 and medallion architecture
Advanced programming skills in T-SQL, Python, and PySpark
Experience with distributed data processing and big data platforms
Strong analytical mindset focused on building scalable, resilient, and high-performance systems
Ability to manage competing priorities in a fast-paced environment while ensuring data quality and integrity
Excellent communication and documentation skills to translate technical solutions for business stakeholders

Application prep

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Keywords to mirror

azuresqlpython

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision

401(K)

Paid Time Off

Parental Leave