EI
Azure Data Architect
Expert In Recruitment Solutions
🇺🇸 United States
On-site
Mid level
4 months ago
- Azure Cloud
- Azure Data Factory
- Azure Databricks
- AI/ML
- Azure
- Azure Synapse
- SQL
- Data Architecture
- ETL
- ELT
- Databricks
- PySpark
- Delta Lake
- RBAC
- Python
- Data Modeling
- Snowflake
- CI/CD
- Azure DevOps
- GitHub
- IaC
- Terraform
- Azure Monitor
4 months ago
Location: Remote-EST candidates only
Duration: 6 months plus
Visa: USC, H4 EAD, H1B
Exp level : 14+ years only
Client: Painting company
Job Summary:
We are seeking an experiencedData Engineering Architect with experience inAzure cloud ecosystem, particularlyAzure Data Factory (ADF) andAzure Databricks. The ideal candidate will design, architect, and oversee scalable, high-performance data platforms and pipelines that enable analytics, reporting, and AI/ML use cases.
Key Responsibilities
- Architect and designend-to-end data solutions on Azure using:
- Azure Data Factory (ADF)
- Azure Databricks
- Azure Data Lake (ADLS Gen2)
- Azure Synapse / SQL Database
- Definedata architecture standards, frameworks, and best practices for:
- Data ingestion (batch & streaming)
- Data transformation (ETL/ELT)
- Data storage and modeling
- Lead the implementation of scalabledata pipelines using ADF and Databricks (PySpark, SQL)
- Design and optimizeDelta Lake architecture and medallion (Bronze/Silver/Gold) data layers
- Collaborate with stakeholders to understandbusiness requirements and translate into technical solutions
- Ensuredata governance, security, and compliance (RBAC, data masking, encryption)
- Provide technical leadership and mentorship to data engineering teams
- Optimize performance and cost of Azure data services
- Integrate real-time and batch processing pipelines
Required Skills & Qualifications
Technical Skills
- Strong experience with:
- Azure Data Factory (ADF) (pipelines, triggers, integration runtime)
- Azure Databricks (PySpark, notebooks, workflows)
- Delta Lake and lakehouse architecture
- Expertise in:
- Python / PySpark
- SQL
- Data modeling (star/snowflake schemas)
- Experience with:
- Azure Data Lake Storage (ADLS Gen2)
- Azure Synapse Analytics or SQL Server
- Data ingestion patterns (API, streaming, files, CDC)
- Knowledge of:
- CI/CD pipelines (Azure DevOps, GitHub)
- Infrastructure-as-Code (ARM, Terraform – preferred)
- Monitoring (Azure Monitor, Log Analytics)
Cloud & Architecture
- understanding of:
- Cloud architecture patterns
- Distributed data processing
- Data warehousing & lakehouse concepts
Azure Data Architect · Expert In Recruitment Solutions