Azure Data Architect
Hitachi Solutions America
full-time
Posted on:
Location Type: Remote
Location: Namibia
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About the role
- Design and implement end-to-end data solutions on Microsoft Azure
- Develop scalable and efficient data architectures that support large-scale data processing and analytics workloads
- Ensure high performance, security, and compliance within Azure data solutions
- Work closely with business and technical teams to understand and translate data needs into robust, scalable data architecture solutions
- Provide expertise and leadership to the development team implementing data engineering solutions
- Collaborate with Data Scientists, Analysts, and other stakeholders to ensure data architectures align with business goals and data analysis requirements
Requirements
- 8 Years to 14 Years
- Design and implement end-to-end data solutions on Microsoft Azure, including data lakes, data warehouses, and ETL/ELT processes.
- Develop scalable and efficient data architectures that support large-scale data processing and analytics workloads.
- Ensure high performance, security, and compliance within Azure data solutions.
- Know various techniques (lakehouse, warehouse) and have experience implementing them.
- Evaluate and choose appropriate Azure services such as Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks (configuring, costing, etc), Unity Catalog, and Azure Data Factory.
- Should have deep knowledge and hands-on experience with these Azure Data Services.
- Ideally, knowledgeable and experienced with Microsoft Fabric.
- Work closely with business and technical teams to understand and translate data needs into robust, scalable data architecture solutions.
- Experience with data governance, data privacy, and compliance requirements.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
- Provide expertise and leadership to the development team implementing data engineering solutions.
- Collaborate with Data Scientists, Analysts, and other stakeholders to ensure data architectures align with business goals and data analysis requirements.
- Optimize cloud-based data infrastructure for performance, cost-effectiveness, and scalability.
- Analyze data workloads and recommend optimizations for performance tuning, cost management, and reducing complexity.
- Monitor and address any issues related to performance and availability in cloud-based data solutions.
- Experience in programming languages (e.g., SQL, Python, Scala).
- Hands-on experience using MS SQL Server, Oracle, or similar RDBMS platform.
- Experience in Azure DevOps, CI/CD pipeline development.
- Hands-on experience working at a high level in architecture, data science, or combination.
- In-depth understanding of database structure principles.
- Distributed Data Processing of big data batch or streaming pipelines.
- Familiarity with data visualization tools (e.g., Power BI, Tableau, etc.).
- Data Modeling and strong analytics skills.
- The candidate must be able to take OLTP data structures and convert them into Star Schema.
- Ideally, the candidate should have DBT experience along with data modeling experience.
- Problem-solving attitude, Highly self‐motivated, self‐directed, and attentive to detail, Ability to prioritize and execute tasks effectively.
- Databricks and Spark are highly desirable: Azure SQL Data Warehouse
- Azure Data Factory
- Azure Data Lake
- Azure Analysis Services
- Databricks/Spark
- Python or Scala (Python preferred)
- Data Modeling
- Power BI
- Database migration from legacy systems to new solutions
- Design conceptual, logical and physical data models using tools like ER Studio, Erwin.
Benefits
- Beware of scams
- Our recruiting team may communicate with candidates via our @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) [email protected] domain email address regarding your application and interview requests.
- All offers will originate from our @hitachisolutions.com domain email address.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturedata engineeringETLELTSQLPythonScaladata modelingdistributed data processingperformance tuning
Soft Skills
communicationinterpersonal skillscollaborationleadershipproblem-solvingself-motivatedattention to detailprioritizationexecutioncross-functional teamwork