Data Architect leading enterprise architecture strategy and implementing solutions in data management. Collaborating with stakeholders and teams for integration and data quality standards implementation.
Responsibilities
Assessment and discovery to define enterprise architecture strategy roadmap • Lead and design best-in-class, conceptual data models leading to implementable solution designs across technical ecosystem • Guide planning of data movement and integration patterns across our ecosystem, defining integration standards, reference architectures and tool utilization • Provide leadership and standard methodologies for using native-first connectors over third-party for integrating our various workflows, applications and data • Support master data solution architectures, system landscapes, governance workflows, and systems integration and implementation • Collaborating with business stakeholders and technical teams to understand data management requirements, data quality remediation and challenges, and identify opportunities for the design of a best of breed solution • Produce relevant solution design artifacts including but not limited to technical estimates, conceptual system designs, sequence diagrams, and data models • Act as an advisor for new and emerging technologies, patterns, and trends
Requirements
13+ years of data architecture or integration architecture experience • Experience creating ETL and reverse-ETL patterns and services to handle data from various data sources, formats, and use cases • Demonstrable experience with enterprise-wide architectures, integration, warehousing and highly proficient with relational database design, data streams, data modeling, and SQL • Experience with streaming, batch and micro-batch data processing and workflows • Experience leading enterprise assessment, Data quality roadmaps, and implementation • Hands on experience in advanced SQL, Python, Spark and Azure Technologies • Ability to drive the practical evolution and innovation of infrastructure, processes, products and services by influencing decision makers, implementers, stewards, and owners of what direction should be taken • Should be Master communicator and able to lead team and solutionist problems
Consultant driving IA business growth in Deloitte's Artificial Intelligence & Data team. Delivering innovative solutions using data analytics and automation technologies.
Data Engineer responsible for managing data architecture and pipelines at Snappi, a neobank. Collaborating with teams to enable data processing and analysis in innovative banking solutions.
Data Engineer at Destinus developing the data platform to support production and analytics needs. Involves migrating Excel sources to Lakehouse and integrating ERP systems in a hybrid role.
Senior Data Engineer developing solutions within the Global Specialty portfolio at an insurance company. Engaging with diverse business partners to ensure high quality data reporting.
Data Engineer at UBDS Group focusing on designing and optimizing modern data platforms. Collaborating in a multidisciplinary team to develop reliable data assets for analytics and operational use cases.
Data Consultant at SDG Group specializing in Data & Analytics projects. Collaborate on technical - functional definitions, ETL, data modeling, and visualization for cloud solutions.
Data Engineer (dbt) at SDG Group involved in all phases of data projects. Collaborate on data ingestion, transformation, and visualization in a hybrid environment.
Senior Data Engineer responsible for growing customer - defined targeting calculations and developing key/value databases for real - time data processing.
Data Engineer developing and maintaining the Data Lakehouse platform using Microsoft Azure technology stack at RBC. Collaborating with business and technology teams to enhance data ingestion and modeling processes.
Data Engineer focused on creating a data platform for automated cyber insurance. Collaborating with stakeholders to deliver data processing capabilities and governance.