A leading technology consulting firm is seeking a Data Architect to define enterprise architecture strategies and lead data integration efforts. The ideal candidate will have over 13 years of experience in data architecture and demonstrate strong proficiency in SQL, Python, and Azure technologies. Responsibilities will include designing data models, collaborating with stakeholders on data requirements, and producing technical design reports. This role requires excellent communication skills and the ability to drive innovation in data infrastructure.
Qualifications
Over 13 years of experience in data architecture or integration architecture.
Hands-on experience with advanced SQL, Python, Spark, and Azure Technologies.
Proficient in creating ETL and reverse-ETL processes.
Responsibilities
Lead and design conceptual data models for implementable solutions.
Collaborate with stakeholders to understand data management requirements.
Produce solution design artifacts including technical estimates and data models.
Skills
Data Warehousing
ETL and reverse-ETL patterns
SQL
Python
Spark
Azure Technologies
Job description
Data Architect
Primary Skills
Data Warehousing
Specialization
Cloud Data Architecture: Associate Data Engineer
Job requirements
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:
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