Brillio 23mo ago

Data Architect - R01558863

BangaloreEmployeemid

Data ScienceData EngineeringData ArchitectData & AI

0 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

• Assessment and discovery to define enterprise architecture strategy roadmap • Lead and design best-in-class,

Requirements Summary

Required: • 13+ years of data architecture or integration architecture experience • Experience creating ETL and

Technical Tools

Data ScienceData EngineeringData ArchitectData & AI

Data Architect

Data Warehousing

Cloud Data Architecture: Associate Data Engineer

What You’ll be Doing: • 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 What You’ll Bring to the Role: Required: • 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 assesment, 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