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Data Fabric Jobs (NOW HIRING)

Sidmans

Data Fabric Developer

Manhattan, NY · On-site

The Data Fabric Developer is responsible for the development, enhancement, and support of modern data integration and warehousing solutions. This role focuses on migrating existing on-premises SQL ...

EXL

Fabric Analytics Data Engineer

Newark, NJ · On-site

EXL is seeking a Fabric Analytics Data Engineer to architect and implement data solutions using Microsoft Fabric components. The role involves designing scalable data models, optimizing data ...

Ruri Software Technologies LLC

Data Engineer

$117K - $140K/yr

Data Fabric and being able to bridge the gap between On Prem H3 Data Fabric and Cloud data base * Strong knowledge of operating systems, applications and associated hardware (e.g., Windows Desktop ...

Fabrion

Data Engineer (Founding Team)

Bodega Bay, CA · On-site

$135K - $163K/yr

At the heart of this architecture lies our Data Fabric -- an intelligent, governed layer that turns fragmented and siloed data into a connected ontology ready for model training, vector search, and ...

SM Global IT LLC

Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

Databricks, Microsoft Fabric & Delta Lake * ETL/ELT Technologies: Azure Data Factory, Informatica, Talend, dbt & Fivetran * Data Governance, Master Data Management (MDM), Metadata Management & Data ...

AllStates Consulting Services

Data Engineer - LATAM

$117K - $140K/yr

Responsibilities : • Creates and supports the process to ingest data from source systems and place it into the data fabric and analytics platforms • Performs big data pipeline design and testing ...

Carmeuse

Enterprise Data Manager

Pittsburgh, PA · On-site

$150K - $167K/yr

The Enterprise Data Fabric Manager will be managing Carmeuse's global Data Warehouse (DWH) and Master Data Management (MDM) systems. This position will be responsible for developing and implementing ...

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Data Fabric information

What is the difference between Data Fabric vs Data Engineer?

AspectData FabricData Engineer
Primary RoleArchitects and implements data management frameworks across an organizationBuilds, constructs, and maintains data pipelines and infrastructure
Skills & CertificationsData architecture, cloud platforms, data governanceSQL, ETL tools, programming languages like Python or Java
Work EnvironmentStrategic, cross-departmental, often in cloud or enterprise settingsTechnical, hands-on, often in data teams or IT departments

While Data Fabric focuses on designing a unified data architecture to enable seamless data access and integration, Data Engineers are responsible for building and maintaining the data pipelines that support this architecture. Both roles are essential in modern data ecosystems but differ in scope and focus.

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Data Fabric jobs near you
Data Fabric Developer

Data Fabric Developer

Sidmans

Manhattan, NY • On-site

Other

Posted 16 days ago

Job description

The Data Fabric Developer is responsible for the development, enhancement, and support of modern data integration and warehousing solutions.

This role focuses on migrating existing on-premises SQL and SSIS-based data environments to the Microsoft Fabric ecosystem.

The candidate will design and build scalable data solutions that leverage OneLake for unified data storage, implement Medallion Architecture (Bronze, Silver, Gold layers) for robust data pipelines, and ensure high-performance data delivery using Parquet and Delta Parquet formats.

Key Responsibilities

1.      Development & Migration: Develop and maintain ADF pipelines, PySpark notebooks, and T-SQL solutions to migrate on-premises workloads to Microsoft Fabric.

2.      Storage & Format Optimization: Manage data storage strategies using ADLS Gen2 and OneLake; optimize data ingestion and processing by leveraging Parquet files and Delta Parquet tables for performance and reliability.

3.      Warehouse Management: Develop, manage, and optimize data models within the Microsoft Fabric Warehouse to support enterprise reporting and analytics.

4.      Data Transformation: Implement complex data transformations, validation rules, and automated load processes.

5.      Testing & Quality Assurance: Perform unit testing, manage defect resolution, and support integration and User Acceptance Testing (UAT) cycles.

6.      Performance Tuning: Optimize SQL queries, ETL processes, and compute usage to ensure system scalability and cost-efficiency.

7.      Process Compliance: Follow established coding standards, documentation practices, and deployment procedures.

8.      Collaboration & Support: Work alongside architects and leads to interpret design specifications, resolve technical roadblocks, and provide production support for data environments.

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