Coordinador Arquitecto Datos Empresarial TI | Corporativo

Our company

Arca Continental produces, distributes, and sells non-alcoholic beverages under The Coca-Cola Company brand, as well as snacks under the brands of Bokados in Mexico, Inalecsa in Ecuador and Wise and Deep River in the U.S.

With an outstanding history spanning more than 99 years, Arca Continental is the second-largest Coca-Cola bottler in Latin America and one of the largest in the world. Within its Coca-Cola franchise territory, the company serves over 128 million consumers in northern and western Mexico, Ecuador, Peru, northern Argentina, and southwestern U.S. The Company is listed on the Mexican Stock Market under the ticker symbol "AC".

Summary

Analyze, design, and promote the development of new global capabilities for data management and analysis by creating roadmaps for the future state of data and artificial intelligence-focused platforms. Provide technical direction with a focus on sustainability and resilience to a portfolio of more than 100 projects per year, ensuring proper management of technological debt and leveraging current data capabilities globally. Preserve and increase data trust for effective decision-making.

Core responsibilities

• Design and communicate the data architecture and AI (Artificial Intelligence) maturity model, focused on Arca Continental’s strategic processes, promoting global standardization.
• Ensure and facilitate the adoption of data and AI architecture strategy/guidelines (scalability, governance, and sustainability) within IT projects.
• Research, evaluate, and propose continuous improvement processes, using emerging technologies (use cases, gap analysis and roadmaps) enabling innovative, user-centered solutions.
• Design and implement data and AI solutions for internal initiatives or as support for various business projects.
• Ensure the effective operation of data processes, solutions (integration, storage, visualization, metadata, quality, and management) and AI (weak, generative, symbolic, connectionist, evolutionary, etc.), in accordance with established standards.
• Promote a culture of continuous learning, staying up-to-date on the latest tech trends in data and AI, actively looking to share the knowledge across the organization.

Qualifications and requirements

• Minimum education: IT Engineering or bachelor’s degree in computer science, Business Informatics, or related.
• Advanced English and Spanish is a MUST.
• 2 or more years of experience in design, implementation or management of data and AI Solutions (e.g., Snowflake, Databricks, MS Azure AI/Fabric, MDM, Metadata Management [Catalog/Data Lineage], Data Governance, Quality, Security, Integration, or Storage).
• General knowledge of data models and core functionalities of SAP ERPs (e.g. ECC, S/4 HANA or Rise).
• Solid experience leading or working in multidisciplinary teams.
• Solid ability to translate complex ideas into simple models, communication, and execution.
• Ability to remain unbiased (agnostic) toward specific technologies or vendors.
• Must be a self-starter and work with minimum supervision.
• Knowledge of data-focused, process modeling, and AI frameworks (e.g., DAMA-DMBOK, ISO/IEC 8000, DCAM – Data Management Capability Assessment Model, BPMN 2.0, CRISP-DM, etc.).

Desired characteristics

• Solid understanding of Project Management and Agile frameworks.
• Strong knowledge of data and AI platforms (e.g., Snowflake, Databricks, MS Fabric, MS Azure AI, Semarchy, etc.).
• Intermediate knowledge of cloud computing architectures (e.g., MS Azure, AWS, BigQuery, etc.).
• Intermediate knowledge of process modeling tools (e.g., SAP Signavio, Bizagi, Lucidchart, etc.).
• Basic knowledge of data visualization tools (e.g., MS Power BI, SAP Analytics Cloud, etc.).
• Basic knowledge of data integration tools: ETL (Extract, Transform & Load), ESB (Enterprise Service Bus), ESP (Event Stream Processing), etc. (e.g., SAP BTP [e.g., Datasphere], MS Azure Data Factory, Mulesoft, Snowflake Pipelines, etc.).
• Basic knowledge of CI/CD orchestration tools: DBT Cloud, Dagster+, Airflow, Azure DevOps, etc.
• Basic understanding of data catalog/metadata solutions (e.g., Collibra, Alation, Atlan, TIBCO EBX, etc.).
• Basic understanding of one or two programming languages (e.g., Python, Terraform, MS SQL, R, ABAP, Java, JavaScript, etc.).
• A master’s degree or relevant certifications are a plus (e.g., CDMP Fundamentals, MDQM, Azure Data Fundamentals/Engineer, SnowPro Core, TOGAF, COBIT5, SAP MM, etc.).

The application period will be available until 02/07/2025.

Our commitment

Arca Continental is an Equal Opportunity Employer. Hiring decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity, age, disability, protected veteran status or other characteristics protected by law.

We will never ask for payment to process applications or ask you to pay costs. Never send money to anyone suggesting they can provide employment with Arca Continental.  If you suspect you have received a fraudulent offer, please address the issue with the authority.