Azure Data Engineer/ Architect with Fabric

Jersey City, New Jersey

SysMind Tech

Position: Azure Data Engineer/ Architect with Fabric

Location: New Jersey, NJ (Onsite)

Duration: Long Term

Job Description:

Deep expertise in modern data architecture, with specific experience in Microsoft's data platform and Delta Lake architecture.
6+ years of experience in data architecture and engineering.
Required 2+ years hands-on experience with Azure Data bricks / ADF and Spark.
Required recent experience with Microsoft Fabric platform.

Key Responsibilities:

Data Architecture:

Integration Design:

Architect data integration patterns with analytics using Azure Data Factory and Microsoft Fabric.
Implement medallion architecture (Bronze/Silver/Gold layers).
Ability to configure real-time data ingestion patterns.
Establish data quality frameworks.

Lakehouse Architecture:

Implement modern data lakehouse architecture using Delta Lake, ensuring data reliability and performance.

Data Governance:

Establish data governance frameworks incorporating Microsoft Purview for data quality, lineage, and compliance.

Microsoft Fabric Expertise:

Data Integration:

Data Pipeline Management:

Creating, orchestrating, and troubleshooting data pipelines.
Analytics Reporting: Building and delivering detailed reports and dashboards to derive meaningful insights from large datasets.
Data Visualization Techniques: Representing data graphically in impactful and informative ways.
Optimization and Security: Optimizing queries, improving performance, and securing data

Azure Databricks Experience:

Apache Spark Proficiency: Utilizing Spark for large-scale data processing and analytics.

Data Engineering:

Building and managing data pipelines, including ETL (Extract, Transform, Load) processes.

Delta Lake:

Implementing Delta Lake for data versioning, ACID transactions, and schema enforcement.

Cluster Management:

Configuring and managing Databricks clusters for optimized performance. (Ex: autoscaling and automatic termination)

Integration with Azure Services:

Integrating Databricks with other Azure services like Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics.

Data Governance:

Implementing data governance practices using Unity Catalog and Microsoft Purview

Security Framework:

Design and implement security patterns aligned with federal and state requirements for sensitive data handling.
Implement row-level security.
Configure Microsoft Purview policies.
Establish data masking for sensitive information.
Design audit logging mechanisms.

Pipeline Development:

Design scalable data pipelines using Azure Databricks for ETL/ELT processes and real-time data integration.

Performance Optimization:

Implement performance tuning strategies for large-scale data processing and analytics workloads.
Optimize Spark configurations.
Implement partitioning strategies.
Design caching mechanisms.
Establish monitoring frameworks.

Date Posted: 02 April 2025