Data Application Architect
hace 4 semanas
For our IT Delivery Center in Mexico City, we are looking for a Data Application Architect to contribute to the design and supervision of Data Solutions from back-end to front-end. This role includes designing new or improving current data solutions, providing guidance to our Product Leads and Data Engineers in accordance with our architecture framework and guidelines. You should have analytical thinking, creativity, be a self-learner, and be a proactive person. Ultimately, you will enhance our ability to make better platforms here at The Coca-Cola Company. If you have a passion for designing Data Products and a problem-solving attitude, we’d like to meet you
What You’ll Do for Us- Take charge of the end-to-end design and implementation process of Data Products, ensuring alignment from data extraction to presentation based on the company's guidelines and frameworks.
- Act as a primary interface with other technology teams to facilitate the extraction, transformation, and loading of data, ensuring seamless integration and optimal performance of data sources.
- Be accountable for developing and maintaining up-to-date standards and guidelines for emerging technologies within our platforms. Ensure that all solutions are compliant with these standards throughout the project lifecycle.
- Offer direct technical expertise and support to Data Product Teams, including Stakeholders, Product Leads, Data Engineers, and Data Analysts, ensuring the team is equipped to meet business goals.
- Spearhead the development of Proof of Concepts for new challenges and provide detailed guidance on their implementation, ensuring adherence to best practices and company standards.
- Actively monitor technical debt and lead upgrade initiatives to enhance system functionality and longevity.
- Hold responsibility for the final deliverables of the data architecture projects, ensuring they meet all functional and technical requirements outlined by the stakeholders.
- Collaborate closely with the security team to ensure data solutions comply with corporate data security and privacy standards.
- Stay updated with the latest trends in data technology to continuously innovate and recommend improvements to our architecture.
- 3+ years’ experience working with Data Products Development.
- 2+ years’ experience designing and implementing Data Products (Extractions, Reports, Dashboards).
- Bachelor’s degree in Computer Science or related field.
- Experience with Business Intelligence Data Visualization tools like PowerBI, Tableau, Microstrategy, etc.
- Experience with Azure Cloud Data Services and Architecture.
- Solid Knowledge with relational SQL databases and NON relational databases.
- Solid knowledge about data modeling and architecture.
- Knowledge with Extract Transform and Load (ETL) tools.
- Knowledge on architecture and connectivity across multiple Cloud Platforms (Azure, AWS and/or GCP).
- Effective Communication in English (Oral and Writing).
- Knowledge in Scrum Methodologies.
- Experience designing, modelling and/or developing Data Science and Machine Learning.
- Experience using CI/CD tools – GitHub, GoCD, Terraform and/or Azure DevOps.
- Experience in programming languages used in Data Product Development.
- Knowledge with Master Data Management (MDM).
- Understand Agile Scrum & DevOps best practices.
- Experience working in a multinational, distributed team, with in-house and external delivery resources.
- Working on one Agile life cycle management tool such as Jira or Azure DevOps.
- Innovation & Technology : The ability to work with an award-winning team that is on the cutting edge of innovation.
- Exposure to World Class Leaders : Availability to global technology leaders that will expand your network and expose you to emerging technologies and techniques.
- Agile Work Environment: We embrace agile with management that believes in removing barriers and empowering you to experiment, iterate and innovate.
Skills:
Data Quality; Data Science; Business Intelligence (BI); Data Transformation; Data Analytics; Data Visualization; Data Governance; Data Stewardship; Data Lineage; Metadata Management; Data Integration Technologies; Data Modeling
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