.Contract to Hire Dec 6, 2023Title: Data ArchitectLocation: Mexico City, Mexico – Must be onsite in Mexico City 3 days a weekDuration: 6 months – Contract to Hire – Consultant must be willing to look at a full-time employment position with the client at the end of the contract term.Job Summary:As a Data Architect, you will be the key technical expert overseeing data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. As a member of the data architecture team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of flagship data products around topics like revenue management, supply chain, manufacturing, and logistics.Responsibilities:Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse.Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework.Partner with IT, data engineering and other teams on the administration and monitoring of all data platforms to ensure the enterprise data model incorporates key dimensions needed for the proper management: business and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations.Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development.Assist with data planning, sourcing, collection, profiling, and transformation.Write requirements for ETL and BI developers.Test the effectiveness of the database before release for business use.Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; data streaming (consumption/production), data in-transit.Develop repeatable data patterns based on cloud-centric, code-first approaches to data management and cleansing.Work with product managers and data stewards within the enterprise data governance process to define and conceptualize data models across enterprise master data, transaction data, and informational data and implement those models into the enterprise data model.Partner with the data science team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders
