Senior Data Engineer Full Time

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize enterprise-scale data platforms. This role is a key technical contributor responsible for architecting modern, scalable data solutions within the Microsoft Azure and Microsoft Fabric ecosystems.

The ideal candidate brings deep expertise in data architecture, distributed data processing, and advanced ETL/ELT engineering, and thrives in a fast-paced environment delivering high-performance, business-critical data solutions.

Key Responsibilities

Architect and deliver enterprise-grade data pipelines using Azure technologies such as Azure Data Factory, Synapse Analytics, ADLS, and Microsoft Fabric
Design and implement end-to-end data solutions, including ingestion, transformation, and serving layers across medallion architectures
Develop and optimize scalable ELT/ETL pipelines using T-SQL, Python, and PySpark for both batch and real-time data processing
Enable low-latency, parallel data processing to support timely analytics and reporting needs
Manage and process high-volume transactional data from multiple source systems, ensuring accuracy, quality, and consistency
Design and maintain Data Vault 2.0 models (Hubs, Links, Satellites) and multi-layer data architecture (raw, business, reporting layers)
Build scalable data platforms supporting advanced analytics, distributed compute, and unified data environments
Collaborate cross-functionally with data architects, analysts, and business stakeholders to deliver effective data solutions
Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
5+ years of experience in data engineering, delivering enterprise-scale data solutions
Proven ability to work independently on complex technical solutions with minimal supervision
Strong collaboration and communication skills in cross-functional environments
Microsoft Azure certifications (or equivalent cloud certifications) are preferred
Preferred Skills

Expertise in Microsoft Azure data services and Microsoft Fabric ecosystem
Strong knowledge of data modeling techniques, including Data Vault 2.0 and medallion architecture
Advanced programming skills in T-SQL, Python, and PySpark
Experience with distributed data processing and big data platforms
Strong analytical mindset focused on building scalable, resilient, and high-performance systems
Ability to manage competing priorities in a fast-paced environment while ensuring data quality and integrity
Excellent communication and documentation skills to translate technical solutions for business stakeholders
Why Join Us

Opportunity to work on next-generation data platforms leveraging Azure and Microsoft Fabric
Exposure to large-scale, high-impact data initiatives driving business value
Collaborative environment with strong alignment to analytics, data science, and business teams