Full Job Description
Must Have Technical/Functional Skills
• 8+ years in data engineering/architecture; Good to have at least 1+ years in AI/ML solutions.
• Expertise in cloud data platforms, Spark, streaming, and data modeling.
• Experience with MLOps, model deployment, and monitoring is good to have.
• Strong communication and leadership skills; ability to run workshops.
• Proficiency in Python, Pyspark and SQL. Roles & Responsibilities
• Facilitate design workshops and translate business needs into data/AI architecture.
• Define data flow, integration patterns, and data models across multiple sources.
• Design and implement data pipelines, ML pipelines, and MLOps practices.
• Establish governance, security, and observability for data and models.
• Lead and mentor engineers; ensure delivery excellence and coding standards.
• Stay hands-on with Spark//Python/PySpark, orchestration tools, and model deployment.
Salary Range: $110,000 to $125,000 per year