10+ years of experience in data architecture, with at least 5 years in senior leadership roles.
Expert knowledge in Azure Data Lake Storage components and adjacent technologies.
Proven experience in data engineering, data warehousing, and advanced data integration practices.
Familiarity with Azure DevOps, Terraform, and Ansible for automated delivery.
Strong understanding of data modeling, distributed data architecture, and agile methodologies.
Responsibilities
Lead the technical architecture for data technology utilizing expertise in multiple subjects.
Design and implement efficient data engineering patterns for raw data utilization.
Oversee the creation and management of robust data integration and ingestion pipelines.
Develop and refine enterprise-grade data warehousing and semantic layer definitions.
Operationalize Data Science outcomes, ensuring continuous model qualification and performance.
Serve as a technical authority while collaborating across teams to communicate complex concepts effectively.
Benefits
Comprehensive health and dental insurance plans.
Flexible working hours with opportunities for remote work.
Professional development opportunities including certifications and training.
Employee wellness programs and initiatives.
Generous paid time off and holidays.
Full Job Description
Role: Data Architect TECHM-JOB-23674 Location: Raleaigh, NC Skill: Azure Data Lake Storage (ADLS) Experience: 10+ years
Expert level knowledge in two or more of the following subject areas specialisms, so that you can lead data technology architecture from a position of technical authority: o Data Engineering patterns and practices for efficient & optimized utilization from raw data
Data Warehousing, semantic layer definitions and scaled data consumption patterns.
Distributed compute and processing data in parallel.
Robust enterprise grade data integration, ingestion, management & pipelines.
Data streaming and associated "Lambda" style data architectures.
Operationalization of Data Science outcomes, including continuous model qualification.
Experience of 2 or more of the following core Azure data components, or very strong adjacent experience from other platforms. o Azure Storage (Data Lake Store, Blob Storage, etc.
Data Bricks / Spark / Azure Data Lake Analytics
Azure DW/Synapse
Azure Functions, Event Hub and other adjacent data relevant components.
IaC / Automated delivery technology such as Azure DevOps, Terraform, Ansible, etc.
Azure Kubernetes Service or other Containerized delivery technology.
Experience delivering specialized & detailed reference architectures as content
Experience with data modelling and distributed data architecture concepts, fluency with agile and DevOps methodology and automaton practices
Superb problem solving and outstanding communication skills with the ability to describe complex & abstract technical concepts to peers and engineers.
12+ years' total experience with at least 5 years of senior architecture leadership roles.
