Delivery Consultant

About the Role

As a Delivery Consultant specializing in Data Engineering & Architecture, you will provide technical design and thought leadership for cloud data applications, working with federal, state, local government, and national security customers. You will design, build, and optimize data architectures and platforms that help organizations achieve their missions through data-driven decision making. This is a customer-facing role and is not remote.

Key Responsibilities

• 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

• 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).

Qualifications

• Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field.
• Experience designing and building Data Lakes, Data Warehouses, and scalable data platforms in the cloud.