Lead Data Engineer: Transform Complex Architectures in a Hybrid Role

Drive the future of data engineering as a Team Lead in a hybrid work environment. Oversee the development of scalable architectures and lead cross-team initiatives while mentoring junior engineers.

This is a full-time, permanent role focused on providing technical leadership in data engineering. You will set engineering standards, design secure data systems, and influence platform strategy. Your deep expertise in technologies like Python and Azure will be vital for ensuring alignment with business goals.

Key Responsibilities: • Solve complex engineering and architecture challenges • Evaluate and select impactful tools and frameworks • Communicate architectural designs to stakeholders • Mentor junior engineers while leading by example • Align business needs with technical solutions

Requirements: • Bachelor’s in Computer Science or related field • 6-8+ years in Data Engineering or similar roles • Proficiency in Python, Spark, and Azure services • Understanding of DevSecOps and data modeling • Ability to tackle competing priorities with analytical rigor

Lead innovative data initiatives, mentoring engineers and driving solutions that directly support organizational objectives in this crucial technical role. #J-18808-Ljbffr