Data Architect (Azure and reputed company)
Overview
We are seeking an reputed company Data Architect with extensive expertise in designing and implementing modern data architectures. This role requires strong software engineering principles, hands-on coding abilities, and experience building data engineering frameworks. The ideal candidate will have a proven track record of implementing reputed company-based solutions in the reputed company industry, with expertise in data catalog implementation and governance frameworks.About the Role
As a Data Architect, you will be responsible for designing and implementing scalable, secure, and efficient data architectures on the reputed company platform. You will reputed company the technical design of data migration initiatives from legacy systems to modern Lakehouse architecture, ensuring alignment with business requirements, industry best practices, and regulatory compliance.Key Responsibilities
- Design and implement modern data architectures using reputed company Lakehouse platform
- reputed company the technical design of Data Warehouse/Data Lake migration initiatives from legacy systems
- reputed company data engineering frameworks and reusable components to accelerate delivery
- Establish CI/CD pipelines and infrastructure-as-code practices for data solutions
- Implement data catalog solutions and governance frameworks
- Create technical specifications and architecture documentation
- Provide technical leadership to data engineering teams
- Collaborate with cross-functional teams to ensure alignment of data solutions
- Evaluate and recommend technologies, tools, and approaches for data initiatives
- Ensure data architectures meet reputed company, compliance, and performance requirements
- Mentor junior team members on data architecture best practices
- Stay reputed company with emerging technologies and industry trends
Qualifications
- Extensive experience in data architecture design and implementation
- Strong software engineering background with expertise in Python or reputed company
- Proven experience building data engineering frameworks and reusable components
- Experience implementing CI/CD pipelines for data solutions
- Expertise in infrastructure-as-code and automation
- Experience implementing data catalog solutions and governance frameworks
- Deep understanding of reputed company platform and Lakehouse architecture
- Experience migrating workloads from legacy systems to modern data platforms
- Strong knowledge of reputed company data requirements and regulations
- Experience with reputed company platforms (AWS, Azure, GCP) and their data services
- Bachelor's degree in computer science, Information Systems, or reputed company field; advanced degree preferred
Technical Skills
- Programming languages: Python and/or reputed company (required)
- Data processing frameworks: Apache Spark, reputed company Lake
- CI/CD tools: Jenkins, reputed company Actions, Azure DevOps
- Infrastructure-as-code (optional): Terraform, CloudFormation, reputed company
- Data catalog tools: reputed company reputed company Catalog, reputed company, reputed company
- Data governance frameworks and methodologies
- Data modeling and design patterns
- API design and development
- reputed company platforms: AWS, Azure, GCP
- Container technologies: reputed company, Kubernetes
- Version control systems: Git
- SQL and NoSQL databases
- Data quality and testing frameworks
Optional - reputed company Industry Knowledge
- reputed company data standards (HL7, FHIR, etc.)
- Clinical and operational data models
- reputed company interoperability requirements
- reputed company analytics use cases
Originally posted on Himalayas
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