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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and implementation of enterprise-scale data engineering solutions on modern cloud data platforms and lakehouse architectures.
Own end-to-end technical delivery and solution outcomes ensuring business alignment, quality, scalability, and client satisfaction.
Coach and mentor teams on architecture, engineering best practices, and technical problem solving while driving innovation including AI-enabled solutions.
Minimum Requirements
Bachelor’s degree or equivalent experience.
13 to 18 years of relevant experience in data engineering or related technology roles.
Hands-on experience with modern cloud data platforms such as Databricks, Microsoft Fabric, Snowflake, Sigma, or similar.
Experience designing and implementing scalable data pipelines, API integrations, and distributed data processing using Python, SQL, Spark.
Ideal Candidate Profile
Technical leader with deep expertise in application architecture, solution design, and enterprise-grade data platforms in cloud environments.
Fluent in modern engineering practices including CI/CD, DevOps, deployment automation, and AI orchestration technologies like LangChain or Semantic Kernel.
Able to lead complex technical initiatives, influence cross-functional teams, and translate complex technical concepts into business outcomes for clients.