Role Description We are currently searching for a Senior Data Engineer – GCP: - Support existing Snowflake workflows and operate/stabilize the migrated Big Query workflows. - Integrate International Paramount logic into Global pipelines to support long-term scalability and standardization. - Design, build, and maintain ETL/ELT pipelines that move and transform data across hybrid environments (AWS, GCP, Snowflake). - Establish data quality checks, validation logic, and data reconciliation processes. - Optimize pipeline runtime, compute usage, storage tiering, and query costs, especially in Big Query. - Create and maintain documentation for the data pipelines built, utilizing working knowledge of Git, CI/CD, and modern DevOps practices. Qualifications - Bachelors Degree in Computer Science or a related discipline. - 12-15 years overall experience. - 7-9 years of applicable engineering experience. - Proficiency in Python and SQL. - Advanced Oral English. - Advanced Spanish. Requirements - GCP Big Query. - Snowflake. - Python. - Airflow. - Composer. - Github. - CICD. - Familiarity with data warehousing concepts (star schemas, dimensional modeling, OLTP vs OLAP). - Adobe. - Support existing Snowflake workflows. - Operate and stabilize the migrated Big Query workflows. - Integrate International Paramount logic into Global pipelines to support long-term scalability and standardization. - Design, build, and maintain ETL/ELT pipelines that move and transform data across hybrid environments (AWS, GCP, Snowflake). - Establish data quality checks, validation logic, and data reconciliation processes. - Optimize pipeline runtime, compute usage, storage tiering, and query costs, especially in Big Query. - Create and maintain documentation for the data pipelines built. - Working knowledge of Git, CICD, and modern DevOps practices. Benefits - Fully remote.

Role Description The Principal Data Architect will lead the design, modernization, and long-term strategy of our enterprise data ecosystem. This role is both strategic and hands-on — ideal for someone who can architect large-scale solutions while actively contributing to modeling, integrations and implementation. You will shape a modern data foundation supporting commerce, operations, customer experience, analytics, personalization, and executive decision enablement across the organization. Key Responsibilities - Define and own the enterprise data architecture roadmap, ensuring scalability, maintainability, and alignment with business strategy. - Design and implement sophisticated data models supporting commerce, customer lifecycle, finance, supply chain, inventory, and digital transformation initiatives. - Build and optimize secure data pipelines integrating Shopify and multiple enterprise systems into a unified Snowflake and SQL Server environment. - Lead standards for data governance, privacy, lineage, cataloging, quality, and master data management. - Drive best practices for Power BI semantic models, architecture, and performance governance across business functions. - Provide architectural oversight for ELT frameworks, automation, and orchestration tools (dbt, Airflow, Matillion, Fivetran, etc.). - Partner with engineering, data, product, and business teams to translate requirements into scalable, future-proof solutions. - Mentor internal data engineering teams and influence leadership on data strategy and platform investment decisions. - Serve as the senior technical authority for data architecture across the organization. Qualifications - 7–10+ years experience in enterprise data engineering, architecture, or platform ownership roles. - Proven expertise in: - Snowflake (design, security, cost management, workload optimization) - SQL Server (schema design, tuning, stored procedures, indexing) - Advanced SQL capability with demonstrated experience optimizing large, complex, high volume workloads. - Strong experience implementing and supporting Power BI enterprise deployments (governance, semantic layer design, modeling patterns). - Hands-on experience with modern ELT tooling and orchestration (dbt, Airflow, Fivetran, Stitch, Matillion, Databricks, etc.). - Demonstrated eCommerce data experience, ideally including Shopify — understanding of order lifecycle, OMS, payments, fulfillment, customer segmentation, and attribution. - Experience building scalable architecture frameworks aligned to business intelligence, operational reporting, and AI/ML readiness. Preferred Experience - Retail or multi-channel commerce experience (stores + eCommerce). - API experience (REST / GraphQL) and complex system integrations. - Knowledge of compliance and governance: SOC2, GDPR, CCPA, PCI-DSS. - Python experience for workflow automation or integration scripting. Preferred Characteristics - A senior technical leader who is both visionary and execution-minded. - Able to influence at executive level while guiding implementation details. - Practical and business-oriented — not just an architect on paper. - Thrives in transforming legacy data landscapes into modern, scalable platforms. Benefits - Full Time Opportunity – A comprehensive benefits package is available. - Rewarding Environment and Competitive Pay. - Generous Dream Maker Discount After First Pay Period. - Referral Incentive Program. - Dayforce Wallet – Get Paid Early! - Health/Dental/Vision Insurance. - 401K Program. - Paid Vacation, Wellness Days & Holidays, including your Birthday off! - Pet Benefits.

• Design and architect comprehensive data center infrastructure solutions, including network, storage, compute, and security components • Develop and communicate technical strategy and roadmap for data center projects, ensuring alignment with organizational objectives • Lead project planning, execution, and delivery, managing timelines, budgets, and resource allocation effectively • Oversee cross-functional teams including engineers, vendors, and stakeholders to ensure successful project outcomes • Conduct detailed technical assessments and feasibility studies to evaluate data center requirements and optimization opportunities • Ensure all data center designs comply with industry standards, regulatory requirements, and best practices • Mentor and guide technical teams, fostering a culture of continuous learning and technical excellence • Analyze and optimize data center performance, efficiency, and cost-effectiveness through innovative solutions • Evaluate emerging technologies and recommend adoption strategies for data center modernization • Manage vendor relationships and evaluate third-party solutions for data center infrastructure components

• Building state of the art pipelines and data models that are at the heart of the studio decision-making process. • Working on large-scale lakehouse and warehouse analytics systems that process data feeds in real-time and batch processes.