Delivery Consultant

Amazon Web Services (AWS)

Key Responsibilities

• Help clarify customer business outcomes during project discovery and translate them into data architecture and engineering solutions.
• Design and build data analytics applications that are secure, scalable, reliable, performant, and cost-effective.
• Collaborate with stakeholders to gather requirements, assess current infrastructure, and propose effective data migration and modernization strategies.
• Identify, mitigate, and communicate risks related to solution and service constraints by making informed technical trade-offs.
• Act as a trusted advisor to customers on industry trends, emerging data technologies, and innovative solutions.
• Share knowledge within the organization through mentoring, training, and creating reusable artifacts.

Requirements & Tech Stack

• Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field.
• Experience with SQL, Python, schema definition, and software engineering best practices including secure, testable, and maintainable code.
• Understanding of distributed systems, data integration techniques (ETL vs. federation), database optimization (partitioning, indexing), and relational database performance tuning.
• Current, active US Government Security Clearance of Top Secret or above.
• Must be a US Citizen.

Preferred Qualifications

• Experience building data platforms with AWS services such as Glue, Lake Formation, Athena, Kinesis, and Lambda.
• Experience with CI/CD automation (CDK or Terraform), physical data modeling (Dimensional, Data Vault), and data pipeline optimization.
• Experience leading end-to-end data engineering projects including migrating on-premises data applications to cloud-native architectures.
• Experience interfacing with customers at different organizational levels to translate requirements into scalable data architectures.
• Knowledge of security and compliance standards (e.g., FedRAMP, NIST, HIPAA).