Adur District, England
Job Summary
20+ years of experience in data engineering, architecture, or platform leadership.
Deep experience with data lake, warehouse, and lakehouse designs.
Strong expertise in AWS, Azure, or GCP data ecosystems.
Hands-on experience with Spark, Databricks, Snowflake, Kafka, Flink, and Airflow.
Advanced SQL, Python, ETL/ELT design.
Experience with data modeling, metadata, lineage, and governance frameworks.
Knowledge of data security, IAM/RBAC/ABAC, and compliance requirements.
Expertise in distributed compute tuning and cost governance.
LLMOps experience including prompt engineering, evaluation pipelines, vector search, embedding models, guardrail frameworks (Azure Prompt Shields, Bedrock Guardrails), and safety monitoring.
Experience delivering agentic AI workflows using frameworks such as LangGraph, AutoGen, or Azure/AWS agent services (high-level—no proprietary detail required).
Preferred Qualifications
Bachelor’s/Master’s degree in Computer Science, Engineering, Data Science, or related fields.
Cloud certifications in AWS, Azure, or GCP.
Experience in BFSI, Telecom, Healthcare, Retail, or regulated domains.
Knowledge of AI/ML lifecycle, feature stores, and model monitoring.
Experience establishing RAG pipelines, evaluating LLM performance, and managing LLM lifecycle.
Key Responsibilities
20+ years of experience in data engineering, architecture, or platform leadership.
Deep experience with data lake, warehouse, and lakehouse designs.
Strong expertise in AWS, Azure, or GCP data ecosystems.
Hands-on experience with Spark, Databricks, Snowflake, Kafka, Flink, and Airflow.
Advanced SQL, Python, ETL/ELT design.
Experience with data modeling, metadata, lineage, and governance frameworks.
Knowledge of data security, IAM/RBAC/ABAC, and compliance requirements.
Expertise in distributed compute tuning and cost governance.
LLMOps experience including prompt engineering, evaluation pipelines, vector search, embedding models, guardrail frameworks (Azure Prompt Shields, Bedrock Guardrails), and safety monitoring.
Experience delivering agentic AI workflows using frameworks such as LangGraph, AutoGen, or Azure/AWS agent services (high-level—no proprietary detail required).
Preferred Qualifications
Bachelor’s/Master’s degree in Computer Science, Engineering, Data Science, or related fields.
Cloud certifications in AWS, Azure, or GCP.
Experience in BFSI, Telecom, Healthcare, Retail, or regulated domains.
Knowledge of AI/ML lifecycle, feature stores, and model monitoring.
Experience establishing RAG pipelines, evaluating LLM performance, and managing LLM lifecycle.
Skill Requirements
Other Requirements
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