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Senior specialized AWS/data architect with metro locations and broad skills yields moderate competition.
High because mandatory BFSI domain knowledge and specialized LLM/data engineering/cloud skills limit cross-industry transferability.
High due to explicit 12+ years requirement, mandatory BFSI domain expertise, and deep technical stack requirements.
Design and develop scalable data engineering solutions and end-to-end data pipelines on AWS using Python, Spark, and SQL, ensuring performance, reliability, and cost efficiency.
Translate BFSI domain requirements into technical architectures and data models, ensuring compliance with security, data quality, and regulatory standards.
Lead framework/project development, conduct code reviews, mentor junior engineers, and troubleshoot complex issues across AWS services and distributed systems.
12-15 years of experience as a Data Engineer or similar role with solution design/architecture exposure.
Hands-on expertise in Python, Apache Spark (PySpark preferred), and strong SQL skills for data processing.
Solid experience with AWS services including S3, Glue, Lambda, EMR, EC2, RDS, IAM, CloudWatch, Airflow, and Step Functions.
Mandatory BFSI domain knowledge and hands-on experience with cloud observability tools such as AWS CloudWatch and AWS CloudTrail.
Proven capability in architecting scalable data solutions and end-to-end AWS data pipelines in BFSI context.
Deep understanding of LLM architectures, AI/ML workflows, and scalable AI/LLM system design with some exposure to Databricks.
Experienced leader with strong analytical, architectural thinking, and problem-solving skills, able to drive technical roadmaps and mentor teams.