Manager – Data Engineering; Databricks | Cloud | Leadership

We are hiring an experienced Data Engineering Manager to lead the design and delivery of scalable, cloud-based analytics solutions with a strong focus on Databricks
. This is a leadership role combining technical expertise, team management, and client engagement to build high-impact data platforms that drive real business value.

• Lead the design and development of scalable cloud data engineering solutions using Databricks
• Architect and manage complex data pipelines, data lakes, and analytics platforms
• Translate business requirements into effective technical and data solutions
• Manage and mentor a team of data engineers while driving delivery excellence
• Partner with clients and stakeholders to deliver impactful analytics solutions
• Ensure strong data quality, governance, and security practices
• Oversee end-to-end pipeline development: ingestion, transformation, and storage
• Stay current with emerging technologies in cloud and data engineering
• Strong experience with Databricks and Spark
• Expertise in cloud platforms (AWS, Azure, or GCP)
• Hands‑on experience building scalable data architecture and pipelines
• Strong programming skills in Python, Scala, or SQL
• Experience leading teams and managing technical delivery
• Strong communication and stakeholder management skills
• Solid understanding of data governance, security, and best practices
• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred)
• 4–6+ years of experience in data engineering, cloud analytics, or big data platforms
• Experience managing projects, teams, and client engagements

• Exposure to advanced analytics / machine learning
• Experience with data governance and compliance
• Knowledge of modern cloud data ecosystems and tools