Senior Delivery Consultant - Data , Professional Services, AWSI Energy

What you'll do

• Design and implement data pipelines, lakes, lakehouses, and data mesh architectures, integrating legacy systems and governance frameworks.
• Build reliable, governed data products and contextual knowledge layers, including ontologies and knowledge graphs, for analytics, AI/ML, and agentic AI.
• Collaborate with customer and partner teams to resolve data access and quality issues, and apply AI-DLC methods to data delivery.

What they ask for

• 5+ years of cloud architecture and solution implementation experience.
• 5+ years of experience in data engineering, data architecture, and/or data platform development, including hands-on implementation of production data pipelines.
• Experience designing modern data platforms, including data lakes, lakehouses, data mesh, zero-ETL patterns, and streaming architectures.
• Experience architecting and engineering ontologies and knowledge graphs in enterprise environments.

Nice to have

• AWS certifications in Data Analytics or Machine Learning Specialty.
• Hands-on experience with Apache Iceberg, Spark, Databricks, Snowflake, Kafka, or equivalent distributed data processing frameworks.

Pay

153,600.00 - 207,800.00 USD annually (base salary)

Tools

Amazon SageMaker Lakehouse, SageMaker Unified Studio, Amazon S3 Tables, Amazon Redshift, Apache Iceberg, Spark, Databricks, Snowflake

AI focus

Builds AI-ready data products and knowledge layers for foundation models and AI agents, and applies AI-DLC methods—including AI-accelerated development—to data delivery.