Tech Stack

Description

In this hands-on senior role, you will design, develop, and optimize large-scale data infrastructure and pipelines for client integrations. You will shape data architecture, lead complex initiatives, and mentor junior team members in a fast-paced environment where your expertise directly impacts the business.

Requirements

• Bachelor's degree in computer science, information systems, or related field
• 6+ years experience in cloud data architecture and data governance
• Strong experience with Azure services (Data Lake Storage, Data Factory, Synapse)
• Proficiency in SQL, Python, Scala, or Java
• Experience with big data frameworks (Spark, Hadoop, Kafka) on Azure

Responsibilities

• Lead design and implementation of scalable data architectures
• Design, build, and maintain complex ETL/ELT pipelines from APIs, cloud platforms, databases
• Own end-to-end delivery of high-impact data engineering projects
• Provide technical leadership and mentorship to junior engineers
• Drive improvements in data quality, observability, and operational efficiency